Repository: HeadspaceMeditation/transformer-embeddings (language: python)

Issue:
feat: Copy package, docs from internal repo
## Description

Copying over the package and readme from the internal repo. No functional changes or additions.

## Changes

- feat: Copy from private repo
- docs: Copy over parts from the internal readme
- style: Disable single line for isort
- style: Apply `isort`
- chore: Remove placeholder test

## Tests

- [x] CI.


Discussion / hints:

Fix patch:
diff --git a/README.md b/README.md
index 38501e8..1933161 100644
--- a/README.md
+++ b/README.md
@@ -19,13 +19,18 @@
 [pre-commit]: https://github.com/pre-commit/pre-commit
 [black]: https://github.com/psf/black
 
-## Features
+This library simplifies and streamlines the usage of encoder transformer models supported by [HuggingFace's `transformers` library](https://github.com/huggingface/transformers/) ([model hub](https://huggingface.co/models) or local) to generate embeddings for string inputs, similar to the way `sentence-transformers` does.
 
-- TODO
+## Why use this over HuggingFace's `transformers` or `sentence-transformers`?
 
-## Requirements
+Under the hood, we take care of:
 
-- TODO
+1. Can be used with any model on the HF model hub, with sensible defaults for inference.
+2. Setting the PyTorch model to `eval` mode.
+3. Using `no_grad()` when doing the forward pass.
+4. Batching, and returning back output in the format produced by HF transformers.
+5. Padding / truncating to model defaults.
+6. Moving to and from GPUs if available.
 
 ## Installation
 
@@ -35,6 +40,75 @@ You can install _Transformer Embeddings_ via [pip] from [PyPI]:
 $ pip install transformer-embeddings
 ```
 
+## Usage
+
+```python
+from transformer_embeddings import TransformerEmbeddings
+
+transformer = TransformerEmbeddings("model_name")
+```
+
+If you have a previously instantiated `model` and / or `tokenizer`, you can pass that in.
+
+```python
+transformer = TransformerEmbeddings(model=model, tokenizer=tokenizer)
+```
+
+```python
+transformer = TransformerEmbeddings(model_name="model_name", model=model)
+```
+
+or
+
+```python
+transformer = TransformerEmbeddings(model_name="model_name", tokenizer=tokenizer)
+```
+
+**Note:** The `model_name` should be included if only 1 of model or tokenizer are passed in.
+
+### Embeddings
+
+To get output embeddings:
+
+```python
+embeddings = transformer.encode(["Lorem ipsum dolor sit amet",
+                                 "consectetur adipiscing elit",
+                                 "sed do eiusmod tempor incididunt",
+                                 "ut labore et dolore magna aliqua."])
+embeddings.output
+```
+
+### Pooled Output
+
+To get pooled outputs:
+
+```python
+from transformer_embeddings import TransformerEmbeddings, mean_pooling
+
+transformer = TransformerEmbeddings("model_name", return_output=False, pooling_fn=mean_pooling)
+
+embeddings = transformer.encode(["Lorem ipsum dolor sit amet",
+                                "consectetur adipiscing elit",
+                                "sed do eiusmod tempor incididunt",
+                                "ut labore et dolore magna aliqua."])
+
+embeddings.pooled
+```
+
+### Exporting the Model
+
+Once you are done testing and training the model, it can be exported into a single tarball that can be uploaded to S3 using:
+
+```python
+from transformer_embeddings import TransformerEmbeddings
+
+transformer = TransformerEmbeddings("model_name")
+transformer.export(
+    additional_files=["/path/to/other/files/to/include/in/tarball.pickle"],
+    s3_path="s3://bucket/models/model-name/date-version/",
+)
+```
+
 ## Contributing
 
 Contributions are very welcome. To learn more, see the [Contributor Guide].
diff --git a/noxfile.py b/noxfile.py
index 4a2f5ce..6094b03 100644
--- a/noxfile.py
+++ b/noxfile.py
@@ -1,5 +1,4 @@
-from nox_poetry import Session
-from nox_poetry import session
+from nox_poetry import Session, session
 
 
 @session(python=["3.7", "3.8", "3.9", "3.10"])
diff --git a/poetry.lock b/poetry.lock
index 23fcf60..309763c 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,3 +1,65 @@
+[[package]]
+name = "aiobotocore"
+version = "2.4.0"
+description = "Async client for aws services using botocore and aiohttp"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+aiohttp = ">=3.3.1"
+aioitertools = ">=0.5.1"
+botocore = ">=1.27.59,<1.27.60"
+wrapt = ">=1.10.10"
+
+[package.extras]
+awscli = ["awscli (>=1.25.60,<1.25.61)"]
+boto3 = ["boto3 (>=1.24.59,<1.24.60)"]
+
+[[package]]
+name = "aiohttp"
+version = "3.8.3"
+description = "Async http client/server framework (asyncio)"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+aiosignal = ">=1.1.2"
+async-timeout = ">=4.0.0a3,<5.0"
+asynctest = {version = "0.13.0", markers = "python_version < \"3.8\""}
+attrs = ">=17.3.0"
+charset-normalizer = ">=2.0,<3.0"
+frozenlist = ">=1.1.1"
+multidict = ">=4.5,<7.0"
+typing-extensions = {version = ">=3.7.4", markers = "python_version < \"3.8\""}
+yarl = ">=1.0,<2.0"
+
+[package.extras]
+speedups = ["Brotli", "aiodns", "cchardet"]
+
+[[package]]
+name = "aioitertools"
+version = "0.11.0"
+description = "itertools and builtins for AsyncIO and mixed iterables"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+typing_extensions = {version = ">=4.0", markers = "python_version < \"3.10\""}
+
+[[package]]
+name = "aiosignal"
+version = "1.2.0"
+description = "aiosignal: a list of registered asynchronous callbacks"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+frozenlist = ">=1.1.0"
+
 [[package]]
 name = "argcomplete"
 version = "2.0.0"
@@ -12,11 +74,30 @@ importlib-metadata = {version = ">=0.23,<5", markers = "python_version == \"3.7\
 [package.extras]
 test = ["coverage", "flake8", "pexpect", "wheel"]
 
+[[package]]
+name = "async-timeout"
+version = "4.0.2"
+description = "Timeout context manager for asyncio programs"
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
+[package.dependencies]
+typing-extensions = {version = ">=3.6.5", markers = "python_version < \"3.8\""}
+
+[[package]]
+name = "asynctest"
+version = "0.13.0"
+description = "Enhance the standard unittest package with features for testing asyncio libraries"
+category = "main"
+optional = false
+python-versions = ">=3.5"
+
 [[package]]
 name = "attrs"
 version = "22.1.0"
 description = "Classes Without Boilerplate"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.5"
 
@@ -42,11 +123,27 @@ webencodings = "*"
 css = ["tinycss2 (>=1.1.0,<1.2)"]
 dev = ["Sphinx (==4.3.2)", "black (==22.3.0)", "build (==0.8.0)", "flake8 (==4.0.1)", "hashin (==0.17.0)", "mypy (==0.961)", "pip-tools (==6.6.2)", "pytest (==7.1.2)", "tox (==3.25.0)", "twine (==4.0.1)", "wheel (==0.37.1)"]
 
+[[package]]
+name = "botocore"
+version = "1.27.59"
+description = "Low-level, data-driven core of boto 3."
+category = "main"
+optional = false
+python-versions = ">= 3.7"
+
+[package.dependencies]
+jmespath = ">=0.7.1,<2.0.0"
+python-dateutil = ">=2.1,<3.0.0"
+urllib3 = ">=1.25.4,<1.27"
+
+[package.extras]
+crt = ["awscrt (==0.14.0)"]
+
 [[package]]
 name = "certifi"
 version = "2022.9.24"
 description = "Python package for providing Mozilla's CA Bundle."
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6"
 
@@ -73,7 +170,7 @@ python-versions = ">=3.6.1"
 name = "charset-normalizer"
 version = "2.1.1"
 description = "The Real First Universal Charset Detector. Open, modern and actively maintained alternative to Chardet."
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6.0"
 
@@ -107,7 +204,7 @@ click = "*"
 name = "colorama"
 version = "0.4.5"
 description = "Cross-platform colored terminal text."
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 
@@ -172,7 +269,7 @@ python-versions = ">=3.5,<4.0"
 name = "filelock"
 version = "3.8.0"
 description = "A platform independent file lock."
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.7"
 
@@ -180,6 +277,45 @@ python-versions = ">=3.7"
 docs = ["furo (>=2022.6.21)", "sphinx (>=5.1.1)", "sphinx-autodoc-typehints (>=1.19.1)"]
 testing = ["covdefaults (>=2.2)", "coverage (>=6.4.2)", "pytest (>=7.1.2)", "pytest-cov (>=3)", "pytest-timeout (>=2.1)"]
 
+[[package]]
+name = "frozenlist"
+version = "1.3.1"
+description = "A list-like structure which implements collections.abc.MutableSequence"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[[package]]
+name = "fsspec"
+version = "2022.10.0"
+description = "File-system specification"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.extras]
+abfs = ["adlfs"]
+adl = ["adlfs"]
+arrow = ["pyarrow (>=1)"]
+dask = ["dask", "distributed"]
+dropbox = ["dropbox", "dropboxdrivefs", "requests"]
+entrypoints = ["importlib-metadata"]
+fuse = ["fusepy"]
+gcs = ["gcsfs"]
+git = ["pygit2"]
+github = ["requests"]
+gs = ["gcsfs"]
+gui = ["panel"]
+hdfs = ["pyarrow (>=1)"]
+http = ["aiohttp (!=4.0.0a0,!=4.0.0a1)", "requests"]
+libarchive = ["libarchive-c"]
+oci = ["ocifs"]
+s3 = ["s3fs"]
+sftp = ["paramiko"]
+smb = ["smbprotocol"]
+ssh = ["paramiko"]
+tqdm = ["tqdm"]
+
 [[package]]
 name = "gitdb"
 version = "4.0.9"
@@ -203,6 +339,33 @@ python-versions = ">=3.7"
 gitdb = ">=4.0.1,<5"
 typing-extensions = {version = ">=3.7.4.3", markers = "python_version < \"3.8\""}
 
+[[package]]
+name = "huggingface-hub"
+version = "0.10.1"
+description = "Client library to download and publish models, datasets and other repos on the huggingface.co hub"
+category = "main"
+optional = false
+python-versions = ">=3.7.0"
+
+[package.dependencies]
+filelock = "*"
+importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
+packaging = ">=20.9"
+pyyaml = ">=5.1"
+requests = "*"
+tqdm = "*"
+typing-extensions = ">=3.7.4.3"
+
+[package.extras]
+all = ["InquirerPy (==0.3.4)", "Jinja2", "black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "isort (>=5.5.4)", "jedi", "mypy", "pytest", "pytest-cov", "soundfile"]
+cli = ["InquirerPy (==0.3.4)"]
+dev = ["InquirerPy (==0.3.4)", "Jinja2", "black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "isort (>=5.5.4)", "jedi", "mypy", "pytest", "pytest-cov", "soundfile"]
+fastai = ["fastai (>=2.4)", "fastcore (>=1.3.27)", "toml"]
+quality = ["black (==22.3)", "flake8 (>=3.8.3)", "flake8-bugbear", "isort (>=5.5.4)", "mypy"]
+tensorflow = ["graphviz", "pydot", "tensorflow"]
+testing = ["InquirerPy (==0.3.4)", "Jinja2", "isort (>=5.5.4)", "jedi", "pytest", "pytest-cov", "soundfile"]
+torch = ["torch"]
+
 [[package]]
 name = "identify"
 version = "2.5.6"
@@ -218,7 +381,7 @@ license = ["ukkonen"]
 name = "idna"
 version = "3.4"
 description = "Internationalized Domain Names in Applications (IDNA)"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.5"
 
@@ -226,7 +389,7 @@ python-versions = ">=3.5"
 name = "importlib-metadata"
 version = "4.13.0"
 description = "Read metadata from Python packages"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.7"
 
@@ -282,6 +445,14 @@ python-versions = ">=3.7"
 test = ["async-timeout", "pytest", "pytest-asyncio (>=0.17)", "pytest-trio", "testpath", "trio"]
 trio = ["async_generator", "trio"]
 
+[[package]]
+name = "jmespath"
+version = "1.0.1"
+description = "JSON Matching Expressions"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "keyring"
 version = "23.9.3"
@@ -309,6 +480,14 @@ category = "dev"
 optional = false
 python-versions = ">=3.7"
 
+[[package]]
+name = "multidict"
+version = "6.0.2"
+description = "multidict implementation"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
 [[package]]
 name = "nodeenv"
 version = "1.7.0"
@@ -353,11 +532,19 @@ nox = ">=2020.8.22"
 packaging = ">=20.9"
 tomlkit = ">=0.7"
 
+[[package]]
+name = "numpy"
+version = "1.21.6"
+description = "NumPy is the fundamental package for array computing with Python."
+category = "main"
+optional = false
+python-versions = ">=3.7,<3.11"
+
 [[package]]
 name = "packaging"
 version = "21.3"
 description = "Core utilities for Python packages"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6"
 
@@ -450,7 +637,7 @@ plugins = ["importlib-metadata"]
 name = "pyparsing"
 version = "3.0.9"
 description = "pyparsing module - Classes and methods to define and execute parsing grammars"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6.8"
 
@@ -489,6 +676,17 @@ python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*"
 [package.dependencies]
 pytest = ">=3.6"
 
+[[package]]
+name = "python-dateutil"
+version = "2.8.2"
+description = "Extensions to the standard Python datetime module"
+category = "main"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,>=2.7"
+
+[package.dependencies]
+six = ">=1.5"
+
 [[package]]
 name = "python-gitlab"
 version = "3.10.0"
@@ -545,7 +743,7 @@ python-versions = "*"
 name = "PyYAML"
 version = "6.0"
 description = "YAML parser and emitter for Python"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.6"
 
@@ -565,11 +763,19 @@ Pygments = ">=2.5.1"
 [package.extras]
 md = ["cmarkgfm (>=0.8.0)"]
 
+[[package]]
+name = "regex"
+version = "2022.9.13"
+description = "Alternative regular expression module, to replace re."
+category = "main"
+optional = false
+python-versions = ">=3.6"
+
 [[package]]
 name = "requests"
 version = "2.28.1"
 description = "Python HTTP for Humans."
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.7, <4"
 
@@ -605,6 +811,23 @@ python-versions = ">=3.7"
 [package.extras]
 idna2008 = ["idna"]
 
+[[package]]
+name = "s3fs"
+version = "2022.10.0"
+description = "Convenient Filesystem interface over S3"
+category = "main"
+optional = false
+python-versions = ">= 3.7"
+
+[package.dependencies]
+aiobotocore = ">=2.4.0,<2.5.0"
+aiohttp = "<4.0.0a0 || >4.0.0a0,<4.0.0a1 || >4.0.0a1"
+fsspec = "2022.10.0"
+
+[package.extras]
+awscli = ["aiobotocore[awscli] (>=2.4.0,<2.5.0)"]
+boto3 = ["aiobotocore[boto3] (>=2.4.0,<2.5.0)"]
+
 [[package]]
 name = "SecretStorage"
 version = "3.3.3"
@@ -642,7 +865,7 @@ testing-integration = ["build[virtualenv]", "filelock (>=3.4.0)", "jaraco.envs (
 name = "six"
 version = "1.16.0"
 description = "Python 2 and 3 compatibility utilities"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*"
 
@@ -654,6 +877,19 @@ category = "dev"
 optional = false
 python-versions = ">=3.6"
 
+[[package]]
+name = "tokenizers"
+version = "0.13.1"
+description = "Fast and Customizable Tokenizers"
+category = "main"
+optional = false
+python-versions = "*"
+
+[package.extras]
+dev = ["datasets", "numpy", "pytest", "requests"]
+docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
+testing = ["datasets", "numpy", "pytest", "requests"]
+
 [[package]]
 name = "toml"
 version = "0.10.2"
@@ -678,11 +914,22 @@ category = "dev"
 optional = false
 python-versions = ">=3.6,<4.0"
 
+[[package]]
+name = "torch"
+version = "1.12.1"
+description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
+category = "main"
+optional = false
+python-versions = ">=3.7.0"
+
+[package.dependencies]
+typing-extensions = "*"
+
 [[package]]
 name = "tqdm"
 version = "4.64.1"
 description = "Fast, Extensible Progress Meter"
-category = "dev"
+category = "main"
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,>=2.7"
 
@@ -695,6 +942,68 @@ notebook = ["ipywidgets (>=6)"]
 slack = ["slack-sdk"]
 telegram = ["requests"]
 
+[[package]]
+name = "transformers"
+version = "4.23.1"
+description = "State-of-the-art Machine Learning for JAX, PyTorch and TensorFlow"
+category = "main"
+optional = false
+python-versions = ">=3.7.0"
+
+[package.dependencies]
+filelock = "*"
+huggingface-hub = ">=0.10.0,<1.0"
+importlib-metadata = {version = "*", markers = "python_version < \"3.8\""}
+numpy = ">=1.17"
+packaging = ">=20.0"
+pyyaml = ">=5.1"
+regex = "!=2019.12.17"
+requests = "*"
+tokenizers = ">=0.11.1,<0.11.3 || >0.11.3,<0.14"
+tqdm = ">=4.27"
+
+[package.extras]
+accelerate = ["accelerate (>=0.10.0)"]
+all = ["Pillow", "accelerate (>=0.10.0)", "codecarbon (==1.2.0)", "flax (>=0.4.1)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "librosa", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "phonemizer", "protobuf (<=3.20.2)", "pyctcdecode (>=0.3.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4)", "tensorflow-text", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio"]
+audio = ["librosa", "phonemizer", "pyctcdecode (>=0.3.0)"]
+codecarbon = ["codecarbon (==1.2.0)"]
+deepspeed = ["accelerate (>=0.10.0)", "deepspeed (>=0.6.5)"]
+deepspeed-testing = ["GitPython (<3.1.19)", "accelerate (>=0.10.0)", "beautifulsoup4", "black (==22.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "deepspeed (>=0.6.5)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "optuna", "parameterized", "protobuf (<=3.20.2)", "psutil", "pytest", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "timeout-decorator"]
+dev = ["GitPython (<3.1.19)", "Pillow", "accelerate (>=0.10.0)", "beautifulsoup4", "black (==22.3)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "flax (>=0.4.1)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "librosa", "nltk", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.3.0)", "pyknp (>=0.6.1)", "pytest", "pytest-timeout", "pytest-xdist", "ray[tune]", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "tensorflow (>=2.4)", "tensorflow-text", "tf2onnx", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
+dev-tensorflow = ["GitPython (<3.1.19)", "Pillow", "beautifulsoup4", "black (==22.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)", "librosa", "nltk", "onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.3.0)", "pytest", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "tensorflow (>=2.4)", "tensorflow-text", "tf2onnx", "timeout-decorator", "tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
+dev-torch = ["GitPython (<3.1.19)", "Pillow", "beautifulsoup4", "black (==22.3)", "codecarbon (==1.2.0)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "flake8 (>=3.8.3)", "fugashi (>=1.0)", "hf-doc-builder", "hf-doc-builder (>=0.3.0)", "ipadic (>=1.0.0,<2.0)", "isort (>=5.5.4)", "librosa", "nltk", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "optuna", "parameterized", "phonemizer", "protobuf (<=3.20.2)", "psutil", "pyctcdecode (>=0.3.0)", "pyknp (>=0.6.1)", "pytest", "pytest-timeout", "pytest-xdist", "ray[tune]", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "scikit-learn", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "timeout-decorator", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
+docs = ["Pillow", "accelerate (>=0.10.0)", "codecarbon (==1.2.0)", "flax (>=0.4.1)", "hf-doc-builder", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "librosa", "onnxconverter-common", "optax (>=0.0.8)", "optuna", "phonemizer", "protobuf (<=3.20.2)", "pyctcdecode (>=0.3.0)", "ray[tune]", "sentencepiece (>=0.1.91,!=0.1.92)", "sigopt", "tensorflow (>=2.4)", "tensorflow-text", "tf2onnx", "timm", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "torchaudio"]
+docs_specific = ["hf-doc-builder"]
+fairscale = ["fairscale (>0.3)"]
+flax = ["flax (>=0.4.1)", "jax (>=0.2.8,!=0.3.2,<=0.3.6)", "jaxlib (>=0.1.65,<=0.3.6)", "optax (>=0.0.8)"]
+flax-speech = ["librosa", "phonemizer", "pyctcdecode (>=0.3.0)"]
+ftfy = ["ftfy"]
+integrations = ["optuna", "ray[tune]", "sigopt"]
+ja = ["fugashi (>=1.0)", "ipadic (>=1.0.0,<2.0)", "pyknp (>=0.6.1)", "sudachidict-core (>=20220729)", "sudachipy (>=0.6.6)", "unidic (>=1.0.2)", "unidic-lite (>=1.0.7)"]
+modelcreation = ["cookiecutter (==1.7.3)"]
+onnx = ["onnxconverter-common", "onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)", "tf2onnx"]
+onnxruntime = ["onnxruntime (>=1.4.0)", "onnxruntime-tools (>=1.4.2)"]
+optuna = ["optuna"]
+quality = ["GitPython (<3.1.19)", "black (==22.3)", "datasets (!=2.5.0)", "flake8 (>=3.8.3)", "hf-doc-builder (>=0.3.0)", "isort (>=5.5.4)"]
+ray = ["ray[tune]"]
+retrieval = ["datasets (!=2.5.0)", "faiss-cpu"]
+sagemaker = ["sagemaker (>=2.31.0)"]
+sentencepiece = ["protobuf (<=3.20.2)", "sentencepiece (>=0.1.91,!=0.1.92)"]
+serving = ["fastapi", "pydantic", "starlette", "uvicorn"]
+sigopt = ["sigopt"]
+sklearn = ["scikit-learn"]
+speech = ["librosa", "phonemizer", "pyctcdecode (>=0.3.0)", "torchaudio"]
+testing = ["GitPython (<3.1.19)", "beautifulsoup4", "black (==22.3)", "cookiecutter (==1.7.3)", "datasets (!=2.5.0)", "dill (<0.3.5)", "evaluate (>=0.2.0)", "faiss-cpu", "hf-doc-builder (>=0.3.0)", "nltk", "parameterized", "protobuf (<=3.20.2)", "psutil", "pytest", "pytest-timeout", "pytest-xdist", "rjieba", "rouge-score (!=0.0.7,!=0.0.8,!=0.1,!=0.1.1)", "sacrebleu (>=1.4.12,<2.0.0)", "sacremoses", "safetensors (>=0.2.1)", "timeout-decorator"]
+tf = ["onnxconverter-common", "tensorflow (>=2.4)", "tensorflow-text", "tf2onnx"]
+tf-cpu = ["onnxconverter-common", "tensorflow-cpu (>=2.3)", "tensorflow-text", "tf2onnx"]
+tf-speech = ["librosa", "phonemizer", "pyctcdecode (>=0.3.0)"]
+timm = ["timm"]
+tokenizers = ["tokenizers (>=0.11.1,!=0.11.3,<0.14)"]
+torch = ["torch (>=1.7,!=1.12.0)"]
+torch-speech = ["librosa", "phonemizer", "pyctcdecode (>=0.3.0)", "torchaudio"]
+torchhub = ["filelock", "huggingface-hub (>=0.10.0,<1.0)", "importlib-metadata", "numpy (>=1.17)", "packaging (>=20.0)", "protobuf (<=3.20.2)", "regex (!=2019.12.17)", "requests", "sentencepiece (>=0.1.91,!=0.1.92)", "tokenizers (>=0.11.1,!=0.11.3,<0.14)", "torch (>=1.7,!=1.12.0)", "tqdm (>=4.27)"]
+vision = ["Pillow"]
+
 [[package]]
 name = "twine"
 version = "3.8.0"
@@ -719,7 +1028,7 @@ urllib3 = ">=1.26.0"
 name = "typing-extensions"
 version = "4.4.0"
 description = "Backported and Experimental Type Hints for Python 3.7+"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.7"
 
@@ -727,7 +1036,7 @@ python-versions = ">=3.7"
 name = "urllib3"
 version = "1.26.12"
 description = "HTTP library with thread-safe connection pooling, file post, and more."
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*, <4"
 
@@ -773,11 +1082,32 @@ python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
 [package.extras]
 test = ["pytest (>=3.0.0)", "pytest-cov"]
 
+[[package]]
+name = "wrapt"
+version = "1.14.1"
+description = "Module for decorators, wrappers and monkey patching."
+category = "main"
+optional = false
+python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,>=2.7"
+
+[[package]]
+name = "yarl"
+version = "1.8.1"
+description = "Yet another URL library"
+category = "main"
+optional = false
+python-versions = ">=3.7"
+
+[package.dependencies]
+idna = ">=2.0"
+multidict = ">=4.0"
+typing-extensions = {version = ">=3.7.4", markers = "python_version < \"3.8\""}
+
 [[package]]
 name = "zipp"
 version = "3.9.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
-category = "dev"
+category = "main"
 optional = false
 python-versions = ">=3.7"
 
@@ -788,13 +1118,122 @@ testing = ["flake8 (<5)", "func-timeout", "jaraco.functools", "jaraco.itertools"
 [metadata]
 lock-version = "1.1"
 python-versions = "^3.7,<3.11"
-content-hash = "438fa860df4812b849441bc96e037d62c4009897f40576f71d43ab62af11420f"
+content-hash = "e46d1eb9d5ff363d980479c6bca3e2c8a0e235e620c191c303286343dc3d2f4c"
 
 [metadata.files]
+aiobotocore = [
+    {file = "aiobotocore-2.4.0-py3-none-any.whl", hash = "sha256:6c25381d31b712652bc2f6008683949351c240c56d24b1d8ae252c1034a50f63"},
+    {file = "aiobotocore-2.4.0.tar.gz", hash = "sha256:f9fe0698cc497861bdb54cd16161c804031f758ada9480c35540f20c0c078385"},
+]
+aiohttp = [
+    {file = "aiohttp-3.8.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:ba71c9b4dcbb16212f334126cc3d8beb6af377f6703d9dc2d9fb3874fd667ee9"},
+    {file = "aiohttp-3.8.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:d24b8bb40d5c61ef2d9b6a8f4528c2f17f1c5d2d31fed62ec860f6006142e83e"},
+    {file = "aiohttp-3.8.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f88df3a83cf9df566f171adba39d5bd52814ac0b94778d2448652fc77f9eb491"},
+    {file = "aiohttp-3.8.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b97decbb3372d4b69e4d4c8117f44632551c692bb1361b356a02b97b69e18a62"},
+    {file = "aiohttp-3.8.3-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:309aa21c1d54b8ef0723181d430347d7452daaff93e8e2363db8e75c72c2fb2d"},
+    {file = "aiohttp-3.8.3-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:ad5383a67514e8e76906a06741febd9126fc7c7ff0f599d6fcce3e82b80d026f"},
+    {file = "aiohttp-3.8.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:20acae4f268317bb975671e375493dbdbc67cddb5f6c71eebdb85b34444ac46b"},
+    {file = "aiohttp-3.8.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:05a3c31c6d7cd08c149e50dc7aa2568317f5844acd745621983380597f027a18"},
+    {file = "aiohttp-3.8.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:d6f76310355e9fae637c3162936e9504b4767d5c52ca268331e2756e54fd4ca5"},
+    {file = "aiohttp-3.8.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:256deb4b29fe5e47893fa32e1de2d73c3afe7407738bd3c63829874661d4822d"},
+    {file = "aiohttp-3.8.3-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:5c59fcd80b9049b49acd29bd3598cada4afc8d8d69bd4160cd613246912535d7"},
+    {file = "aiohttp-3.8.3-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:059a91e88f2c00fe40aed9031b3606c3f311414f86a90d696dd982e7aec48142"},
+    {file = "aiohttp-3.8.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:2feebbb6074cdbd1ac276dbd737b40e890a1361b3cc30b74ac2f5e24aab41f7b"},
+    {file = "aiohttp-3.8.3-cp310-cp310-win32.whl", hash = "sha256:5bf651afd22d5f0c4be16cf39d0482ea494f5c88f03e75e5fef3a85177fecdeb"},
+    {file = "aiohttp-3.8.3-cp310-cp310-win_amd64.whl", hash = "sha256:653acc3880459f82a65e27bd6526e47ddf19e643457d36a2250b85b41a564715"},
+    {file = "aiohttp-3.8.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:86fc24e58ecb32aee09f864cb11bb91bc4c1086615001647dbfc4dc8c32f4008"},
+    {file = "aiohttp-3.8.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:75e14eac916f024305db517e00a9252714fce0abcb10ad327fb6dcdc0d060f1d"},
+    {file = "aiohttp-3.8.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:d1fde0f44029e02d02d3993ad55ce93ead9bb9b15c6b7ccd580f90bd7e3de476"},
+    {file = "aiohttp-3.8.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4ab94426ddb1ecc6a0b601d832d5d9d421820989b8caa929114811369673235c"},
+    {file = "aiohttp-3.8.3-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:89d2e02167fa95172c017732ed7725bc8523c598757f08d13c5acca308e1a061"},
+    {file = "aiohttp-3.8.3-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:02f9a2c72fc95d59b881cf38a4b2be9381b9527f9d328771e90f72ac76f31ad8"},
+    {file = "aiohttp-3.8.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9c7149272fb5834fc186328e2c1fa01dda3e1fa940ce18fded6d412e8f2cf76d"},
+    {file = "aiohttp-3.8.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:512bd5ab136b8dc0ffe3fdf2dfb0c4b4f49c8577f6cae55dca862cd37a4564e2"},
+    {file = "aiohttp-3.8.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:7018ecc5fe97027214556afbc7c502fbd718d0740e87eb1217b17efd05b3d276"},
+    {file = "aiohttp-3.8.3-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:88c70ed9da9963d5496d38320160e8eb7e5f1886f9290475a881db12f351ab5d"},
+    {file = "aiohttp-3.8.3-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:da22885266bbfb3f78218dc40205fed2671909fbd0720aedba39b4515c038091"},
+    {file = "aiohttp-3.8.3-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:e65bc19919c910127c06759a63747ebe14f386cda573d95bcc62b427ca1afc73"},
+    {file = "aiohttp-3.8.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:08c78317e950e0762c2983f4dd58dc5e6c9ff75c8a0efeae299d363d439c8e34"},
+    {file = "aiohttp-3.8.3-cp311-cp311-win32.whl", hash = "sha256:45d88b016c849d74ebc6f2b6e8bc17cabf26e7e40c0661ddd8fae4c00f015697"},
+    {file = "aiohttp-3.8.3-cp311-cp311-win_amd64.whl", hash = "sha256:96372fc29471646b9b106ee918c8eeb4cca423fcbf9a34daa1b93767a88a2290"},
+    {file = "aiohttp-3.8.3-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:c971bf3786b5fad82ce5ad570dc6ee420f5b12527157929e830f51c55dc8af77"},
+    {file = "aiohttp-3.8.3-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ff25f48fc8e623d95eca0670b8cc1469a83783c924a602e0fbd47363bb54aaca"},
+    {file = "aiohttp-3.8.3-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e381581b37db1db7597b62a2e6b8b57c3deec95d93b6d6407c5b61ddc98aca6d"},
+    {file = "aiohttp-3.8.3-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:db19d60d846283ee275d0416e2a23493f4e6b6028825b51290ac05afc87a6f97"},
+    {file = "aiohttp-3.8.3-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:25892c92bee6d9449ffac82c2fe257f3a6f297792cdb18ad784737d61e7a9a85"},
+    {file = "aiohttp-3.8.3-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:398701865e7a9565d49189f6c90868efaca21be65c725fc87fc305906be915da"},
+    {file = "aiohttp-3.8.3-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:4a4fbc769ea9b6bd97f4ad0b430a6807f92f0e5eb020f1e42ece59f3ecfc4585"},
+    {file = "aiohttp-3.8.3-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:b29bfd650ed8e148f9c515474a6ef0ba1090b7a8faeee26b74a8ff3b33617502"},
+    {file = "aiohttp-3.8.3-cp36-cp36m-musllinux_1_1_ppc64le.whl", hash = "sha256:1e56b9cafcd6531bab5d9b2e890bb4937f4165109fe98e2b98ef0dcfcb06ee9d"},
+    {file = "aiohttp-3.8.3-cp36-cp36m-musllinux_1_1_s390x.whl", hash = "sha256:ec40170327d4a404b0d91855d41bfe1fe4b699222b2b93e3d833a27330a87a6d"},
+    {file = "aiohttp-3.8.3-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:2df5f139233060578d8c2c975128fb231a89ca0a462b35d4b5fcf7c501ebdbe1"},
+    {file = "aiohttp-3.8.3-cp36-cp36m-win32.whl", hash = "sha256:f973157ffeab5459eefe7b97a804987876dd0a55570b8fa56b4e1954bf11329b"},
+    {file = "aiohttp-3.8.3-cp36-cp36m-win_amd64.whl", hash = "sha256:437399385f2abcd634865705bdc180c8314124b98299d54fe1d4c8990f2f9494"},
+    {file = "aiohttp-3.8.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:09e28f572b21642128ef31f4e8372adb6888846f32fecb288c8b0457597ba61a"},
+    {file = "aiohttp-3.8.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6f3553510abdbec67c043ca85727396ceed1272eef029b050677046d3387be8d"},
+    {file = "aiohttp-3.8.3-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e168a7560b7c61342ae0412997b069753f27ac4862ec7867eff74f0fe4ea2ad9"},
+    {file = "aiohttp-3.8.3-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:db4c979b0b3e0fa7e9e69ecd11b2b3174c6963cebadeecfb7ad24532ffcdd11a"},
+    {file = "aiohttp-3.8.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e164e0a98e92d06da343d17d4e9c4da4654f4a4588a20d6c73548a29f176abe2"},
+    {file = "aiohttp-3.8.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e8a78079d9a39ca9ca99a8b0ac2fdc0c4d25fc80c8a8a82e5c8211509c523363"},
+    {file = "aiohttp-3.8.3-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:21b30885a63c3f4ff5b77a5d6caf008b037cb521a5f33eab445dc566f6d092cc"},
+    {file = "aiohttp-3.8.3-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:4b0f30372cef3fdc262f33d06e7b411cd59058ce9174ef159ad938c4a34a89da"},
+    {file = "aiohttp-3.8.3-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:8135fa153a20d82ffb64f70a1b5c2738684afa197839b34cc3e3c72fa88d302c"},
+    {file = "aiohttp-3.8.3-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:ad61a9639792fd790523ba072c0555cd6be5a0baf03a49a5dd8cfcf20d56df48"},
+    {file = "aiohttp-3.8.3-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:978b046ca728073070e9abc074b6299ebf3501e8dee5e26efacb13cec2b2dea0"},
+    {file = "aiohttp-3.8.3-cp37-cp37m-win32.whl", hash = "sha256:0d2c6d8c6872df4a6ec37d2ede71eff62395b9e337b4e18efd2177de883a5033"},
+    {file = "aiohttp-3.8.3-cp37-cp37m-win_amd64.whl", hash = "sha256:21d69797eb951f155026651f7e9362877334508d39c2fc37bd04ff55b2007091"},
+    {file = "aiohttp-3.8.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:2ca9af5f8f5812d475c5259393f52d712f6d5f0d7fdad9acdb1107dd9e3cb7eb"},
+    {file = "aiohttp-3.8.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:1d90043c1882067f1bd26196d5d2db9aa6d268def3293ed5fb317e13c9413ea4"},
+    {file = "aiohttp-3.8.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:d737fc67b9a970f3234754974531dc9afeea11c70791dcb7db53b0cf81b79784"},
+    {file = "aiohttp-3.8.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ebf909ea0a3fc9596e40d55d8000702a85e27fd578ff41a5500f68f20fd32e6c"},
+    {file = "aiohttp-3.8.3-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5835f258ca9f7c455493a57ee707b76d2d9634d84d5d7f62e77be984ea80b849"},
+    {file = "aiohttp-3.8.3-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:da37dcfbf4b7f45d80ee386a5f81122501ec75672f475da34784196690762f4b"},
+    {file = "aiohttp-3.8.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:87f44875f2804bc0511a69ce44a9595d5944837a62caecc8490bbdb0e18b1342"},
+    {file = "aiohttp-3.8.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:527b3b87b24844ea7865284aabfab08eb0faf599b385b03c2aa91fc6edd6e4b6"},
+    {file = "aiohttp-3.8.3-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:d5ba88df9aa5e2f806650fcbeedbe4f6e8736e92fc0e73b0400538fd25a4dd96"},
+    {file = "aiohttp-3.8.3-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:e7b8813be97cab8cb52b1375f41f8e6804f6507fe4660152e8ca5c48f0436017"},
+    {file = "aiohttp-3.8.3-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:2dea10edfa1a54098703cb7acaa665c07b4e7568472a47f4e64e6319d3821ccf"},
+    {file = "aiohttp-3.8.3-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:713d22cd9643ba9025d33c4af43943c7a1eb8547729228de18d3e02e278472b6"},
+    {file = "aiohttp-3.8.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:2d252771fc85e0cf8da0b823157962d70639e63cb9b578b1dec9868dd1f4f937"},
+    {file = "aiohttp-3.8.3-cp38-cp38-win32.whl", hash = "sha256:66bd5f950344fb2b3dbdd421aaa4e84f4411a1a13fca3aeb2bcbe667f80c9f76"},
+    {file = "aiohttp-3.8.3-cp38-cp38-win_amd64.whl", hash = "sha256:84b14f36e85295fe69c6b9789b51a0903b774046d5f7df538176516c3e422446"},
+    {file = "aiohttp-3.8.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:16c121ba0b1ec2b44b73e3a8a171c4f999b33929cd2397124a8c7fcfc8cd9e06"},
+    {file = "aiohttp-3.8.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8d6aaa4e7155afaf994d7924eb290abbe81a6905b303d8cb61310a2aba1c68ba"},
+    {file = "aiohttp-3.8.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:43046a319664a04b146f81b40e1545d4c8ac7b7dd04c47e40bf09f65f2437346"},
+    {file = "aiohttp-3.8.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:599418aaaf88a6d02a8c515e656f6faf3d10618d3dd95866eb4436520096c84b"},
+    {file = "aiohttp-3.8.3-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:92a2964319d359f494f16011e23434f6f8ef0434acd3cf154a6b7bec511e2fb7"},
+    {file = "aiohttp-3.8.3-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:73a4131962e6d91109bca6536416aa067cf6c4efb871975df734f8d2fd821b37"},
+    {file = "aiohttp-3.8.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:598adde339d2cf7d67beaccda3f2ce7c57b3b412702f29c946708f69cf8222aa"},
+    {file = "aiohttp-3.8.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:75880ed07be39beff1881d81e4a907cafb802f306efd6d2d15f2b3c69935f6fb"},
+    {file = "aiohttp-3.8.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:a0239da9fbafd9ff82fd67c16704a7d1bccf0d107a300e790587ad05547681c8"},
+    {file = "aiohttp-3.8.3-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:4e3a23ec214e95c9fe85a58470b660efe6534b83e6cbe38b3ed52b053d7cb6ad"},
+    {file = "aiohttp-3.8.3-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:47841407cc89a4b80b0c52276f3cc8138bbbfba4b179ee3acbd7d77ae33f7ac4"},
+    {file = "aiohttp-3.8.3-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:54d107c89a3ebcd13228278d68f1436d3f33f2dd2af5415e3feaeb1156e1a62c"},
+    {file = "aiohttp-3.8.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:c37c5cce780349d4d51739ae682dec63573847a2a8dcb44381b174c3d9c8d403"},
+    {file = "aiohttp-3.8.3-cp39-cp39-win32.whl", hash = "sha256:f178d2aadf0166be4df834c4953da2d7eef24719e8aec9a65289483eeea9d618"},
+    {file = "aiohttp-3.8.3-cp39-cp39-win_amd64.whl", hash = "sha256:88e5be56c231981428f4f506c68b6a46fa25c4123a2e86d156c58a8369d31ab7"},
+    {file = "aiohttp-3.8.3.tar.gz", hash = "sha256:3828fb41b7203176b82fe5d699e0d845435f2374750a44b480ea6b930f6be269"},
+]
+aioitertools = [
+    {file = "aioitertools-0.11.0-py3-none-any.whl", hash = "sha256:04b95e3dab25b449def24d7df809411c10e62aab0cbe31a50ca4e68748c43394"},
+    {file = "aioitertools-0.11.0.tar.gz", hash = "sha256:42c68b8dd3a69c2bf7f2233bf7df4bb58b557bca5252ac02ed5187bbc67d6831"},
+]
+aiosignal = [
+    {file = "aiosignal-1.2.0-py3-none-any.whl", hash = "sha256:26e62109036cd181df6e6ad646f91f0dcfd05fe16d0cb924138ff2ab75d64e3a"},
+    {file = "aiosignal-1.2.0.tar.gz", hash = "sha256:78ed67db6c7b7ced4f98e495e572106d5c432a93e1ddd1bf475e1dc05f5b7df2"},
+]
 argcomplete = [
     {file = "argcomplete-2.0.0-py2.py3-none-any.whl", hash = "sha256:cffa11ea77999bb0dd27bb25ff6dc142a6796142f68d45b1a26b11f58724561e"},
     {file = "argcomplete-2.0.0.tar.gz", hash = "sha256:6372ad78c89d662035101418ae253668445b391755cfe94ea52f1b9d22425b20"},
 ]
+async-timeout = [
+    {file = "async-timeout-4.0.2.tar.gz", hash = "sha256:2163e1640ddb52b7a8c80d0a67a08587e5d245cc9c553a74a847056bc2976b15"},
+    {file = "async_timeout-4.0.2-py3-none-any.whl", hash = "sha256:8ca1e4fcf50d07413d66d1a5e416e42cfdf5851c981d679a09851a6853383b3c"},
+]
+asynctest = [
+    {file = "asynctest-0.13.0-py3-none-any.whl", hash = "sha256:5da6118a7e6d6b54d83a8f7197769d046922a44d2a99c21382f0a6e4fadae676"},
+    {file = "asynctest-0.13.0.tar.gz", hash = "sha256:c27862842d15d83e6a34eb0b2866c323880eb3a75e4485b079ea11748fd77fac"},
+]
 attrs = [
     {file = "attrs-22.1.0-py2.py3-none-any.whl", hash = "sha256:86efa402f67bf2df34f51a335487cf46b1ec130d02b8d39fd248abfd30da551c"},
     {file = "attrs-22.1.0.tar.gz", hash = "sha256:29adc2665447e5191d0e7c568fde78b21f9672d344281d0c6e1ab085429b22b6"},
@@ -803,6 +1242,10 @@ bleach = [
     {file = "bleach-5.0.1-py3-none-any.whl", hash = "sha256:085f7f33c15bd408dd9b17a4ad77c577db66d76203e5984b1bd59baeee948b2a"},
     {file = "bleach-5.0.1.tar.gz", hash = "sha256:0d03255c47eb9bd2f26aa9bb7f2107732e7e8fe195ca2f64709fcf3b0a4a085c"},
 ]
+botocore = [
+    {file = "botocore-1.27.59-py3-none-any.whl", hash = "sha256:69d756791fc024bda54f6c53f71ae34e695ee41bbbc1743d9179c4837a4929da"},
+    {file = "botocore-1.27.59.tar.gz", hash = "sha256:eda4aed6ee719a745d1288eaf1beb12f6f6448ad1fa12f159405db14ba9c92cf"},
+]
 certifi = [
     {file = "certifi-2022.9.24-py3-none-any.whl", hash = "sha256:90c1a32f1d68f940488354e36370f6cca89f0f106db09518524c88d6ed83f382"},
     {file = "certifi-2022.9.24.tar.gz", hash = "sha256:0d9c601124e5a6ba9712dbc60d9c53c21e34f5f641fe83002317394311bdce14"},
@@ -941,6 +1384,71 @@ filelock = [
     {file = "filelock-3.8.0-py3-none-any.whl", hash = "sha256:617eb4e5eedc82fc5f47b6d61e4d11cb837c56cb4544e39081099fa17ad109d4"},
     {file = "filelock-3.8.0.tar.gz", hash = "sha256:55447caa666f2198c5b6b13a26d2084d26fa5b115c00d065664b2124680c4edc"},
 ]
+frozenlist = [
+    {file = "frozenlist-1.3.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:5f271c93f001748fc26ddea409241312a75e13466b06c94798d1a341cf0e6989"},
+    {file = "frozenlist-1.3.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9c6ef8014b842f01f5d2b55315f1af5cbfde284eb184075c189fd657c2fd8204"},
+    {file = "frozenlist-1.3.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:219a9676e2eae91cb5cc695a78b4cb43d8123e4160441d2b6ce8d2c70c60e2f3"},
+    {file = "frozenlist-1.3.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b47d64cdd973aede3dd71a9364742c542587db214e63b7529fbb487ed67cddd9"},
+    {file = "frozenlist-1.3.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:2af6f7a4e93f5d08ee3f9152bce41a6015b5cf87546cb63872cc19b45476e98a"},
+    {file = "frozenlist-1.3.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a718b427ff781c4f4e975525edb092ee2cdef6a9e7bc49e15063b088961806f8"},
+    {file = "frozenlist-1.3.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:c56c299602c70bc1bb5d1e75f7d8c007ca40c9d7aebaf6e4ba52925d88ef826d"},
+    {file = "frozenlist-1.3.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:717470bfafbb9d9be624da7780c4296aa7935294bd43a075139c3d55659038ca"},
+    {file = "frozenlist-1.3.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:31b44f1feb3630146cffe56344704b730c33e042ffc78d21f2125a6a91168131"},
+    {file = "frozenlist-1.3.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:c3b31180b82c519b8926e629bf9f19952c743e089c41380ddca5db556817b221"},
+    {file = "frozenlist-1.3.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:d82bed73544e91fb081ab93e3725e45dd8515c675c0e9926b4e1f420a93a6ab9"},
+    {file = "frozenlist-1.3.1-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:49459f193324fbd6413e8e03bd65789e5198a9fa3095e03f3620dee2f2dabff2"},
+    {file = "frozenlist-1.3.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:94e680aeedc7fd3b892b6fa8395b7b7cc4b344046c065ed4e7a1e390084e8cb5"},
+    {file = "frozenlist-1.3.1-cp310-cp310-win32.whl", hash = "sha256:fabb953ab913dadc1ff9dcc3a7a7d3dc6a92efab3a0373989b8063347f8705be"},
+    {file = "frozenlist-1.3.1-cp310-cp310-win_amd64.whl", hash = "sha256:eee0c5ecb58296580fc495ac99b003f64f82a74f9576a244d04978a7e97166db"},
+    {file = "frozenlist-1.3.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:0bc75692fb3770cf2b5856a6c2c9de967ca744863c5e89595df64e252e4b3944"},
+    {file = "frozenlist-1.3.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:086ca1ac0a40e722d6833d4ce74f5bf1aba2c77cbfdc0cd83722ffea6da52a04"},
+    {file = "frozenlist-1.3.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:1b51eb355e7f813bcda00276b0114c4172872dc5fb30e3fea059b9367c18fbcb"},
+    {file = "frozenlist-1.3.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:74140933d45271c1a1283f708c35187f94e1256079b3c43f0c2267f9db5845ff"},
+    {file = "frozenlist-1.3.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ee4c5120ddf7d4dd1eaf079af3af7102b56d919fa13ad55600a4e0ebe532779b"},
+    {file = "frozenlist-1.3.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:97d9e00f3ac7c18e685320601f91468ec06c58acc185d18bb8e511f196c8d4b2"},
+    {file = "frozenlist-1.3.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:6e19add867cebfb249b4e7beac382d33215d6d54476bb6be46b01f8cafb4878b"},
+    {file = "frozenlist-1.3.1-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:a027f8f723d07c3f21963caa7d585dcc9b089335565dabe9c814b5f70c52705a"},
+    {file = "frozenlist-1.3.1-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:61d7857950a3139bce035ad0b0945f839532987dfb4c06cfe160254f4d19df03"},
+    {file = "frozenlist-1.3.1-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:53b2b45052e7149ee8b96067793db8ecc1ae1111f2f96fe1f88ea5ad5fd92d10"},
+    {file = "frozenlist-1.3.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:bbb1a71b1784e68870800b1bc9f3313918edc63dbb8f29fbd2e767ce5821696c"},
+    {file = "frozenlist-1.3.1-cp37-cp37m-win32.whl", hash = "sha256:ab6fa8c7871877810e1b4e9392c187a60611fbf0226a9e0b11b7b92f5ac72792"},
+    {file = "frozenlist-1.3.1-cp37-cp37m-win_amd64.whl", hash = "sha256:f89139662cc4e65a4813f4babb9ca9544e42bddb823d2ec434e18dad582543bc"},
+    {file = "frozenlist-1.3.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:4c0c99e31491a1d92cde8648f2e7ccad0e9abb181f6ac3ddb9fc48b63301808e"},
+    {file = "frozenlist-1.3.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:61e8cb51fba9f1f33887e22488bad1e28dd8325b72425f04517a4d285a04c519"},
+    {file = "frozenlist-1.3.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:cc2f3e368ee5242a2cbe28323a866656006382872c40869b49b265add546703f"},
+    {file = "frozenlist-1.3.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:58fb94a01414cddcdc6839807db77ae8057d02ddafc94a42faee6004e46c9ba8"},
+    {file = "frozenlist-1.3.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:022178b277cb9277d7d3b3f2762d294f15e85cd2534047e68a118c2bb0058f3e"},
+    {file = "frozenlist-1.3.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:572ce381e9fe027ad5e055f143763637dcbac2542cfe27f1d688846baeef5170"},
+    {file = "frozenlist-1.3.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:19127f8dcbc157ccb14c30e6f00392f372ddb64a6ffa7106b26ff2196477ee9f"},
+    {file = "frozenlist-1.3.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:42719a8bd3792744c9b523674b752091a7962d0d2d117f0b417a3eba97d1164b"},
+    {file = "frozenlist-1.3.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:2743bb63095ef306041c8f8ea22bd6e4d91adabf41887b1ad7886c4c1eb43d5f"},
+    {file = "frozenlist-1.3.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:fa47319a10e0a076709644a0efbcaab9e91902c8bd8ef74c6adb19d320f69b83"},
+    {file = "frozenlist-1.3.1-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:52137f0aea43e1993264a5180c467a08a3e372ca9d378244c2d86133f948b26b"},
+    {file = "frozenlist-1.3.1-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:f5abc8b4d0c5b556ed8cd41490b606fe99293175a82b98e652c3f2711b452988"},
+    {file = "frozenlist-1.3.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:1e1cf7bc8cbbe6ce3881863671bac258b7d6bfc3706c600008925fb799a256e2"},
+    {file = "frozenlist-1.3.1-cp38-cp38-win32.whl", hash = "sha256:0dde791b9b97f189874d654c55c24bf7b6782343e14909c84beebd28b7217845"},
+    {file = "frozenlist-1.3.1-cp38-cp38-win_amd64.whl", hash = "sha256:9494122bf39da6422b0972c4579e248867b6b1b50c9b05df7e04a3f30b9a413d"},
+    {file = "frozenlist-1.3.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:31bf9539284f39ff9398deabf5561c2b0da5bb475590b4e13dd8b268d7a3c5c1"},
+    {file = "frozenlist-1.3.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:e0c8c803f2f8db7217898d11657cb6042b9b0553a997c4a0601f48a691480fab"},
+    {file = "frozenlist-1.3.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:da5ba7b59d954f1f214d352308d1d86994d713b13edd4b24a556bcc43d2ddbc3"},
+    {file = "frozenlist-1.3.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:74e6b2b456f21fc93ce1aff2b9728049f1464428ee2c9752a4b4f61e98c4db96"},
+    {file = "frozenlist-1.3.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:526d5f20e954d103b1d47232e3839f3453c02077b74203e43407b962ab131e7b"},
+    {file = "frozenlist-1.3.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b499c6abe62a7a8d023e2c4b2834fce78a6115856ae95522f2f974139814538c"},
+    {file = "frozenlist-1.3.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ab386503f53bbbc64d1ad4b6865bf001414930841a870fc97f1546d4d133f141"},
+    {file = "frozenlist-1.3.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5f63c308f82a7954bf8263a6e6de0adc67c48a8b484fab18ff87f349af356efd"},
+    {file = "frozenlist-1.3.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:12607804084d2244a7bd4685c9d0dca5df17a6a926d4f1967aa7978b1028f89f"},
+    {file = "frozenlist-1.3.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:da1cdfa96425cbe51f8afa43e392366ed0b36ce398f08b60de6b97e3ed4affef"},
+    {file = "frozenlist-1.3.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:f810e764617b0748b49a731ffaa525d9bb36ff38332411704c2400125af859a6"},
+    {file = "frozenlist-1.3.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:35c3d79b81908579beb1fb4e7fcd802b7b4921f1b66055af2578ff7734711cfa"},
+    {file = "frozenlist-1.3.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:c92deb5d9acce226a501b77307b3b60b264ca21862bd7d3e0c1f3594022f01bc"},
+    {file = "frozenlist-1.3.1-cp39-cp39-win32.whl", hash = "sha256:5e77a8bd41e54b05e4fb2708dc6ce28ee70325f8c6f50f3df86a44ecb1d7a19b"},
+    {file = "frozenlist-1.3.1-cp39-cp39-win_amd64.whl", hash = "sha256:625d8472c67f2d96f9a4302a947f92a7adbc1e20bedb6aff8dbc8ff039ca6189"},
+    {file = "frozenlist-1.3.1.tar.gz", hash = "sha256:3a735e4211a04ccfa3f4833547acdf5d2f863bfeb01cfd3edaffbc251f15cec8"},
+]
+fsspec = [
+    {file = "fsspec-2022.10.0-py3-none-any.whl", hash = "sha256:6b7c6ab3b476cdf17efcfeccde7fca28ef5a48f73a71010aaceec5fc15bf9ebf"},
+    {file = "fsspec-2022.10.0.tar.gz", hash = "sha256:cb6092474e90487a51de768170f3afa50ca8982c26150a59072b16433879ff1d"},
+]
 gitdb = [
     {file = "gitdb-4.0.9-py3-none-any.whl", hash = "sha256:8033ad4e853066ba6ca92050b9df2f89301b8fc8bf7e9324d412a63f8bf1a8fd"},
     {file = "gitdb-4.0.9.tar.gz", hash = "sha256:bac2fd45c0a1c9cf619e63a90d62bdc63892ef92387424b855792a6cabe789aa"},
@@ -949,6 +1457,10 @@ GitPython = [
     {file = "GitPython-3.1.29-py3-none-any.whl", hash = "sha256:41eea0deec2deea139b459ac03656f0dd28fc4a3387240ec1d3c259a2c47850f"},
     {file = "GitPython-3.1.29.tar.gz", hash = "sha256:cc36bfc4a3f913e66805a28e84703e419d9c264c1077e537b54f0e1af85dbefd"},
 ]
+huggingface-hub = [
+    {file = "huggingface_hub-0.10.1-py3-none-any.whl", hash = "sha256:dc3b0e9a663fe6cad6a8522055c02a9d8673dbd527223288e2442bc028c253db"},
+    {file = "huggingface_hub-0.10.1.tar.gz", hash = "sha256:5c188d5b16bec4b78449f8681f9975ff9d321c16046cc29bcf0d7e464ff29276"},
+]
 identify = [
     {file = "identify-2.5.6-py2.py3-none-any.whl", hash = "sha256:b276db7ec52d7e89f5bc4653380e33054ddc803d25875952ad90b0f012cbcdaa"},
     {file = "identify-2.5.6.tar.gz", hash = "sha256:6c32dbd747aa4ceee1df33f25fed0b0f6e0d65721b15bd151307ff7056d50245"},
@@ -977,6 +1489,10 @@ jeepney = [
     {file = "jeepney-0.8.0-py3-none-any.whl", hash = "sha256:c0a454ad016ca575060802ee4d590dd912e35c122fa04e70306de3d076cce755"},
     {file = "jeepney-0.8.0.tar.gz", hash = "sha256:5efe48d255973902f6badc3ce55e2aa6c5c3b3bc642059ef3a91247bcfcc5806"},
 ]
+jmespath = [
+    {file = "jmespath-1.0.1-py3-none-any.whl", hash = "sha256:02e2e4cc71b5bcab88332eebf907519190dd9e6e82107fa7f83b1003a6252980"},
+    {file = "jmespath-1.0.1.tar.gz", hash = "sha256:90261b206d6defd58fdd5e85f478bf633a2901798906be2ad389150c5c60edbe"},
+]
 keyring = [
     {file = "keyring-23.9.3-py3-none-any.whl", hash = "sha256:69732a15cb1433bdfbc3b980a8a36a04878a6cfd7cb99f497b573f31618001c0"},
     {file = "keyring-23.9.3.tar.gz", hash = "sha256:69b01dd83c42f590250fe7a1f503fc229b14de83857314b1933a3ddbf595c4a5"},
@@ -985,6 +1501,67 @@ more-itertools = [
     {file = "more-itertools-9.0.0.tar.gz", hash = "sha256:5a6257e40878ef0520b1803990e3e22303a41b5714006c32a3fd8304b26ea1ab"},
     {file = "more_itertools-9.0.0-py3-none-any.whl", hash = "sha256:250e83d7e81d0c87ca6bd942e6aeab8cc9daa6096d12c5308f3f92fa5e5c1f41"},
 ]
+multidict = [
+    {file = "multidict-6.0.2-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:0b9e95a740109c6047602f4db4da9949e6c5945cefbad34a1299775ddc9a62e2"},
+    {file = "multidict-6.0.2-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ac0e27844758d7177989ce406acc6a83c16ed4524ebc363c1f748cba184d89d3"},
+    {file = "multidict-6.0.2-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:041b81a5f6b38244b34dc18c7b6aba91f9cdaf854d9a39e5ff0b58e2b5773b9c"},
+    {file = "multidict-6.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5fdda29a3c7e76a064f2477c9aab1ba96fd94e02e386f1e665bca1807fc5386f"},
+    {file = "multidict-6.0.2-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:3368bf2398b0e0fcbf46d85795adc4c259299fec50c1416d0f77c0a843a3eed9"},
+    {file = "multidict-6.0.2-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:f4f052ee022928d34fe1f4d2bc743f32609fb79ed9c49a1710a5ad6b2198db20"},
+    {file = "multidict-6.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:225383a6603c086e6cef0f2f05564acb4f4d5f019a4e3e983f572b8530f70c88"},
+    {file = "multidict-6.0.2-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:50bd442726e288e884f7be9071016c15a8742eb689a593a0cac49ea093eef0a7"},
+    {file = "multidict-6.0.2-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:47e6a7e923e9cada7c139531feac59448f1f47727a79076c0b1ee80274cd8eee"},
+    {file = "multidict-6.0.2-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:0556a1d4ea2d949efe5fd76a09b4a82e3a4a30700553a6725535098d8d9fb672"},
+    {file = "multidict-6.0.2-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:626fe10ac87851f4cffecee161fc6f8f9853f0f6f1035b59337a51d29ff3b4f9"},
+    {file = "multidict-6.0.2-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:8064b7c6f0af936a741ea1efd18690bacfbae4078c0c385d7c3f611d11f0cf87"},
+    {file = "multidict-6.0.2-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:2d36e929d7f6a16d4eb11b250719c39560dd70545356365b494249e2186bc389"},
+    {file = "multidict-6.0.2-cp310-cp310-win32.whl", hash = "sha256:fcb91630817aa8b9bc4a74023e4198480587269c272c58b3279875ed7235c293"},
+    {file = "multidict-6.0.2-cp310-cp310-win_amd64.whl", hash = "sha256:8cbf0132f3de7cc6c6ce00147cc78e6439ea736cee6bca4f068bcf892b0fd658"},
+    {file = "multidict-6.0.2-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:05f6949d6169878a03e607a21e3b862eaf8e356590e8bdae4227eedadacf6e51"},
+    {file = "multidict-6.0.2-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e2c2e459f7050aeb7c1b1276763364884595d47000c1cddb51764c0d8976e608"},
+    {file = "multidict-6.0.2-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:d0509e469d48940147e1235d994cd849a8f8195e0bca65f8f5439c56e17872a3"},
+    {file = "multidict-6.0.2-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:514fe2b8d750d6cdb4712346a2c5084a80220821a3e91f3f71eec11cf8d28fd4"},
+    {file = "multidict-6.0.2-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:19adcfc2a7197cdc3987044e3f415168fc5dc1f720c932eb1ef4f71a2067e08b"},
+    {file = "multidict-6.0.2-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b9d153e7f1f9ba0b23ad1568b3b9e17301e23b042c23870f9ee0522dc5cc79e8"},
+    {file = "multidict-6.0.2-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:aef9cc3d9c7d63d924adac329c33835e0243b5052a6dfcbf7732a921c6e918ba"},
+    {file = "multidict-6.0.2-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:4571f1beddff25f3e925eea34268422622963cd8dc395bb8778eb28418248e43"},
+    {file = "multidict-6.0.2-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:d48b8ee1d4068561ce8033d2c344cf5232cb29ee1a0206a7b828c79cbc5982b8"},
+    {file = "multidict-6.0.2-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:45183c96ddf61bf96d2684d9fbaf6f3564d86b34cb125761f9a0ef9e36c1d55b"},
+    {file = "multidict-6.0.2-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:75bdf08716edde767b09e76829db8c1e5ca9d8bb0a8d4bd94ae1eafe3dac5e15"},
+    {file = "multidict-6.0.2-cp37-cp37m-win32.whl", hash = "sha256:a45e1135cb07086833ce969555df39149680e5471c04dfd6a915abd2fc3f6dbc"},
+    {file = "multidict-6.0.2-cp37-cp37m-win_amd64.whl", hash = "sha256:6f3cdef8a247d1eafa649085812f8a310e728bdf3900ff6c434eafb2d443b23a"},
+    {file = "multidict-6.0.2-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:0327292e745a880459ef71be14e709aaea2f783f3537588fb4ed09b6c01bca60"},
+    {file = "multidict-6.0.2-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:e875b6086e325bab7e680e4316d667fc0e5e174bb5611eb16b3ea121c8951b86"},
+    {file = "multidict-6.0.2-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:feea820722e69451743a3d56ad74948b68bf456984d63c1a92e8347b7b88452d"},
+    {file = "multidict-6.0.2-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9cc57c68cb9139c7cd6fc39f211b02198e69fb90ce4bc4a094cf5fe0d20fd8b0"},
+    {file = "multidict-6.0.2-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:497988d6b6ec6ed6f87030ec03280b696ca47dbf0648045e4e1d28b80346560d"},
+    {file = "multidict-6.0.2-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:89171b2c769e03a953d5969b2f272efa931426355b6c0cb508022976a17fd376"},
+    {file = "multidict-6.0.2-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:684133b1e1fe91eda8fa7447f137c9490a064c6b7f392aa857bba83a28cfb693"},
+    {file = "multidict-6.0.2-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:fd9fc9c4849a07f3635ccffa895d57abce554b467d611a5009ba4f39b78a8849"},
+    {file = "multidict-6.0.2-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:e07c8e79d6e6fd37b42f3250dba122053fddb319e84b55dd3a8d6446e1a7ee49"},
+    {file = "multidict-6.0.2-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:4070613ea2227da2bfb2c35a6041e4371b0af6b0be57f424fe2318b42a748516"},
+    {file = "multidict-6.0.2-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:47fbeedbf94bed6547d3aa632075d804867a352d86688c04e606971595460227"},
+    {file = "multidict-6.0.2-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:5774d9218d77befa7b70d836004a768fb9aa4fdb53c97498f4d8d3f67bb9cfa9"},
+    {file = "multidict-6.0.2-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:2957489cba47c2539a8eb7ab32ff49101439ccf78eab724c828c1a54ff3ff98d"},
+    {file = "multidict-6.0.2-cp38-cp38-win32.whl", hash = "sha256:e5b20e9599ba74391ca0cfbd7b328fcc20976823ba19bc573983a25b32e92b57"},
+    {file = "multidict-6.0.2-cp38-cp38-win_amd64.whl", hash = "sha256:8004dca28e15b86d1b1372515f32eb6f814bdf6f00952699bdeb541691091f96"},
+    {file = "multidict-6.0.2-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:2e4a0785b84fb59e43c18a015ffc575ba93f7d1dbd272b4cdad9f5134b8a006c"},
+    {file = "multidict-6.0.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6701bf8a5d03a43375909ac91b6980aea74b0f5402fbe9428fc3f6edf5d9677e"},
+    {file = "multidict-6.0.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:a007b1638e148c3cfb6bf0bdc4f82776cef0ac487191d093cdc316905e504071"},
+    {file = "multidict-6.0.2-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:07a017cfa00c9890011628eab2503bee5872f27144936a52eaab449be5eaf032"},
+    {file = "multidict-6.0.2-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c207fff63adcdf5a485969131dc70e4b194327666b7e8a87a97fbc4fd80a53b2"},
+    {file = "multidict-6.0.2-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:373ba9d1d061c76462d74e7de1c0c8e267e9791ee8cfefcf6b0b2495762c370c"},
+    {file = "multidict-6.0.2-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bfba7c6d5d7c9099ba21f84662b037a0ffd4a5e6b26ac07d19e423e6fdf965a9"},
+    {file = "multidict-6.0.2-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:19d9bad105dfb34eb539c97b132057a4e709919ec4dd883ece5838bcbf262b80"},
+    {file = "multidict-6.0.2-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:de989b195c3d636ba000ee4281cd03bb1234635b124bf4cd89eeee9ca8fcb09d"},
+    {file = "multidict-6.0.2-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7c40b7bbece294ae3a87c1bc2abff0ff9beef41d14188cda94ada7bcea99b0fb"},
+    {file = "multidict-6.0.2-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:d16cce709ebfadc91278a1c005e3c17dd5f71f5098bfae1035149785ea6e9c68"},
+    {file = "multidict-6.0.2-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:a2c34a93e1d2aa35fbf1485e5010337c72c6791407d03aa5f4eed920343dd360"},
+    {file = "multidict-6.0.2-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:feba80698173761cddd814fa22e88b0661e98cb810f9f986c54aa34d281e4937"},
+    {file = "multidict-6.0.2-cp39-cp39-win32.whl", hash = "sha256:23b616fdc3c74c9fe01d76ce0d1ce872d2d396d8fa8e4899398ad64fb5aa214a"},
+    {file = "multidict-6.0.2-cp39-cp39-win_amd64.whl", hash = "sha256:4bae31803d708f6f15fd98be6a6ac0b6958fcf68fda3c77a048a4f9073704aae"},
+    {file = "multidict-6.0.2.tar.gz", hash = "sha256:5ff3bd75f38e4c43f1f470f2df7a4d430b821c4ce22be384e1459cb57d6bb013"},
+]
 nodeenv = [
     {file = "nodeenv-1.7.0-py2.py3-none-any.whl", hash = "sha256:27083a7b96a25f2f5e1d8cb4b6317ee8aeda3bdd121394e5ac54e498028a042e"},
     {file = "nodeenv-1.7.0.tar.gz", hash = "sha256:e0e7f7dfb85fc5394c6fe1e8fa98131a2473e04311a45afb6508f7cf1836fa2b"},
@@ -997,6 +1574,39 @@ nox-poetry = [
     {file = "nox-poetry-1.0.1.tar.gz", hash = "sha256:8a1b96f2d321e91917f0aa770adb6079f3f3dc8cf01447944977cb78ccafda15"},
     {file = "nox_poetry-1.0.1-py3-none-any.whl", hash = "sha256:6ed30e33b782cecba081dbb79626f60c3acf517c535b89ef8699071fd70567cd"},
 ]
+numpy = [
+    {file = "numpy-1.21.6-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:8737609c3bbdd48e380d463134a35ffad3b22dc56295eff6f79fd85bd0eeeb25"},
+    {file = "numpy-1.21.6-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:fdffbfb6832cd0b300995a2b08b8f6fa9f6e856d562800fea9182316d99c4e8e"},
+    {file = "numpy-1.21.6-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3820724272f9913b597ccd13a467cc492a0da6b05df26ea09e78b171a0bb9da6"},
+    {file = "numpy-1.21.6-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f17e562de9edf691a42ddb1eb4a5541c20dd3f9e65b09ded2beb0799c0cf29bb"},
+    {file = "numpy-1.21.6-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5f30427731561ce75d7048ac254dbe47a2ba576229250fb60f0fb74db96501a1"},
+    {file = "numpy-1.21.6-cp310-cp310-win32.whl", hash = "sha256:d4bf4d43077db55589ffc9009c0ba0a94fa4908b9586d6ccce2e0b164c86303c"},
+    {file = "numpy-1.21.6-cp310-cp310-win_amd64.whl", hash = "sha256:d136337ae3cc69aa5e447e78d8e1514be8c3ec9b54264e680cf0b4bd9011574f"},
+    {file = "numpy-1.21.6-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:6aaf96c7f8cebc220cdfc03f1d5a31952f027dda050e5a703a0d1c396075e3e7"},
+    {file = "numpy-1.21.6-cp37-cp37m-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:67c261d6c0a9981820c3a149d255a76918278a6b03b6a036800359aba1256d46"},
+    {file = "numpy-1.21.6-cp37-cp37m-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:a6be4cb0ef3b8c9250c19cc122267263093eee7edd4e3fa75395dfda8c17a8e2"},
+    {file = "numpy-1.21.6-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7c4068a8c44014b2d55f3c3f574c376b2494ca9cc73d2f1bd692382b6dffe3db"},
+    {file = "numpy-1.21.6-cp37-cp37m-win32.whl", hash = "sha256:7c7e5fa88d9ff656e067876e4736379cc962d185d5cd808014a8a928d529ef4e"},
+    {file = "numpy-1.21.6-cp37-cp37m-win_amd64.whl", hash = "sha256:bcb238c9c96c00d3085b264e5c1a1207672577b93fa666c3b14a45240b14123a"},
+    {file = "numpy-1.21.6-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:82691fda7c3f77c90e62da69ae60b5ac08e87e775b09813559f8901a88266552"},
+    {file = "numpy-1.21.6-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:643843bcc1c50526b3a71cd2ee561cf0d8773f062c8cbaf9ffac9fdf573f83ab"},
+    {file = "numpy-1.21.6-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:357768c2e4451ac241465157a3e929b265dfac85d9214074985b1786244f2ef3"},
+    {file = "numpy-1.21.6-cp38-cp38-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:9f411b2c3f3d76bba0865b35a425157c5dcf54937f82bbeb3d3c180789dd66a6"},
+    {file = "numpy-1.21.6-cp38-cp38-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:4aa48afdce4660b0076a00d80afa54e8a97cd49f457d68a4342d188a09451c1a"},
+    {file = "numpy-1.21.6-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d6a96eef20f639e6a97d23e57dd0c1b1069a7b4fd7027482a4c5c451cd7732f4"},
+    {file = "numpy-1.21.6-cp38-cp38-win32.whl", hash = "sha256:5c3c8def4230e1b959671eb959083661b4a0d2e9af93ee339c7dada6759a9470"},
+    {file = "numpy-1.21.6-cp38-cp38-win_amd64.whl", hash = "sha256:bf2ec4b75d0e9356edea834d1de42b31fe11f726a81dfb2c2112bc1eaa508fcf"},
+    {file = "numpy-1.21.6-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:4391bd07606be175aafd267ef9bea87cf1b8210c787666ce82073b05f202add1"},
+    {file = "numpy-1.21.6-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:67f21981ba2f9d7ba9ade60c9e8cbaa8cf8e9ae51673934480e45cf55e953673"},
+    {file = "numpy-1.21.6-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:ee5ec40fdd06d62fe5d4084bef4fd50fd4bb6bfd2bf519365f569dc470163ab0"},
+    {file = "numpy-1.21.6-cp39-cp39-manylinux_2_12_i686.manylinux2010_i686.whl", hash = "sha256:1dbe1c91269f880e364526649a52eff93ac30035507ae980d2fed33aaee633ac"},
+    {file = "numpy-1.21.6-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:d9caa9d5e682102453d96a0ee10c7241b72859b01a941a397fd965f23b3e016b"},
+    {file = "numpy-1.21.6-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:58459d3bad03343ac4b1b42ed14d571b8743dc80ccbf27444f266729df1d6f5b"},
+    {file = "numpy-1.21.6-cp39-cp39-win32.whl", hash = "sha256:7f5ae4f304257569ef3b948810816bc87c9146e8c446053539947eedeaa32786"},
+    {file = "numpy-1.21.6-cp39-cp39-win_amd64.whl", hash = "sha256:e31f0bb5928b793169b87e3d1e070f2342b22d5245c755e2b81caa29756246c3"},
+    {file = "numpy-1.21.6-pp37-pypy37_pp73-manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:dd1c8f6bd65d07d3810b90d02eba7997e32abbdf1277a481d698969e921a3be0"},
+    {file = "numpy-1.21.6.zip", hash = "sha256:ecb55251139706669fdec2ff073c98ef8e9a84473e51e716211b41aa0f18e656"},
+]
 packaging = [
     {file = "packaging-21.3-py3-none-any.whl", hash = "sha256:ef103e05f519cdc783ae24ea4e2e0f508a9c99b2d4969652eed6a2e1ea5bd522"},
     {file = "packaging-21.3.tar.gz", hash = "sha256:dd47c42927d89ab911e606518907cc2d3a1f38bbd026385970643f9c5b8ecfeb"},
@@ -1041,6 +1651,10 @@ pytest-repeat = [
     {file = "pytest-repeat-0.9.1.tar.gz", hash = "sha256:5cd3289745ab3156d43eb9c8e7f7d00a926f3ae5c9cf425bec649b2fe15bad5b"},
     {file = "pytest_repeat-0.9.1-py2.py3-none-any.whl", hash = "sha256:4474a7d9e9137f6d8cc8ae297f8c4168d33c56dd740aa78cfffe562557e6b96e"},
 ]
+python-dateutil = [
+    {file = "python-dateutil-2.8.2.tar.gz", hash = "sha256:0123cacc1627ae19ddf3c27a5de5bd67ee4586fbdd6440d9748f8abb483d3e86"},
+    {file = "python_dateutil-2.8.2-py2.py3-none-any.whl", hash = "sha256:961d03dc3453ebbc59dbdea9e4e11c5651520a876d0f4db161e8674aae935da9"},
+]
 python-gitlab = [
     {file = "python-gitlab-3.10.0.tar.gz", hash = "sha256:14930a16fdd7f36f67b9373e7d4d4720e8e374800028380289db3306e9f74614"},
     {file = "python_gitlab-3.10.0-py3-none-any.whl", hash = "sha256:6b5a24d0f479c43c1759cb174cf42116ed27cced31284bedc82d584d860fa238"},
@@ -1099,6 +1713,96 @@ readme-renderer = [
     {file = "readme_renderer-37.2-py3-none-any.whl", hash = "sha256:d3f06a69e8c40fca9ab3174eca48f96d9771eddb43517b17d96583418427b106"},
     {file = "readme_renderer-37.2.tar.gz", hash = "sha256:e8ad25293c98f781dbc2c5a36a309929390009f902f99e1798c761aaf04a7923"},
 ]
+regex = [
+    {file = "regex-2022.9.13-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:0394265391a86e2bbaa7606e59ac71bd9f1edf8665a59e42771a9c9adbf6fd4f"},
+    {file = "regex-2022.9.13-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:86df2049b18745f3cd4b0f4c4ef672bfac4b80ca488e6ecfd2bbfe68d2423a2c"},
+    {file = "regex-2022.9.13-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ce331b076b2b013e7d7f07157f957974ef0b0881a808e8a4a4b3b5105aee5d04"},
+    {file = "regex-2022.9.13-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:360ffbc9357794ae41336b681dff1c0463193199dfb91fcad3ec385ea4972f46"},
+    {file = "regex-2022.9.13-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:18e503b1e515a10282b3f14f1b3d856194ecece4250e850fad230842ed31227f"},
+    {file = "regex-2022.9.13-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f6e167d1ccd41d27b7b6655bb7a2dcb1b1eb1e0d2d662043470bd3b4315d8b2b"},
+    {file = "regex-2022.9.13-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:4146cb7ae6029fc83b5c905ec6d806b7e5568dc14297c423e66b86294bad6c39"},
+    {file = "regex-2022.9.13-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:a1aec4ae549fd7b3f52ceaf67e133010e2fba1538bf4d5fc5cd162a5e058d5df"},
+    {file = "regex-2022.9.13-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:cab548d6d972e1de584161487b2ac1aa82edd8430d1bde69587ba61698ad1cfb"},
+    {file = "regex-2022.9.13-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:3d64e1a7e6d98a4cdc8b29cb8d8ed38f73f49e55fbaa737bdb5933db99b9de22"},
+    {file = "regex-2022.9.13-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:67a4c625361db04ae40ef7c49d3cbe2c1f5ff10b5a4491327ab20f19f2fb5d40"},
+    {file = "regex-2022.9.13-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:5d0dd8b06896423211ce18fba0c75dacc49182a1d6514c004b535be7163dca0f"},
+    {file = "regex-2022.9.13-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:4318f69b79f9f7d84a7420e97d4bfe872dc767c72f891d4fea5fa721c74685f7"},
+    {file = "regex-2022.9.13-cp310-cp310-win32.whl", hash = "sha256:26df88c9636a0c3f3bd9189dd435850a0c49d0b7d6e932500db3f99a6dd604d1"},
+    {file = "regex-2022.9.13-cp310-cp310-win_amd64.whl", hash = "sha256:6fe1dd1021e0f8f3f454ce2811f1b0b148f2d25bb38c712fec00316551e93650"},
+    {file = "regex-2022.9.13-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:83cc32a1a2fa5bac00f4abc0e6ce142e3c05d3a6d57e23bd0f187c59b4e1e43b"},
+    {file = "regex-2022.9.13-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:a2effeaf50a6838f3dd4d3c5d265f06eabc748f476e8441892645ae3a697e273"},
+    {file = "regex-2022.9.13-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:59a786a55d00439d8fae4caaf71581f2aaef7297d04ee60345c3594efef5648a"},
+    {file = "regex-2022.9.13-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:b7b701dbc124558fd2b1b08005eeca6c9160e209108fbcbd00091fcfac641ac7"},
+    {file = "regex-2022.9.13-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:dab81cc4d58026861445230cfba27f9825e9223557926e7ec22156a1a140d55c"},
+    {file = "regex-2022.9.13-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:7b0c5cc3d1744a67c3b433dce91e5ef7c527d612354c1f1e8576d9e86bc5c5e2"},
+    {file = "regex-2022.9.13-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:518272f25da93e02af4f1e94985f5042cec21557ef3591027d0716f2adda5d0a"},
+    {file = "regex-2022.9.13-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:8418ee2cb857b83881b8f981e4c636bc50a0587b12d98cb9b947408a3c484fe7"},
+    {file = "regex-2022.9.13-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:cfa4c956ff0a977c4823cb3b930b0a4e82543b060733628fec7ab3eb9b1abe37"},
+    {file = "regex-2022.9.13-cp311-cp311-musllinux_1_1_ppc64le.whl", hash = "sha256:a1c4d17879dd4c4432c08a1ca1ab379f12ab54af569e945b6fc1c4cf6a74ca45"},
+    {file = "regex-2022.9.13-cp311-cp311-musllinux_1_1_s390x.whl", hash = "sha256:77c2879d3ba51e5ca6c2b47f2dcf3d04a976a623a8fc8236010a16c9e0b0a3c7"},
+    {file = "regex-2022.9.13-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:d2885ec6eea629c648ecc9bde0837ec6b92208b7f36381689937fe5d64a517e8"},
+    {file = "regex-2022.9.13-cp311-cp311-win32.whl", hash = "sha256:2dda4b096a6f630d6531728a45bd12c67ec3badf44342046dc77d4897277d4f2"},
+    {file = "regex-2022.9.13-cp311-cp311-win_amd64.whl", hash = "sha256:592b9e2e1862168e71d9e612bfdc22c451261967dbd46681f14e76dfba7105fd"},
+    {file = "regex-2022.9.13-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:df8fe00b60e4717662c7f80c810ba66dcc77309183c76b7754c0dff6f1d42054"},
+    {file = "regex-2022.9.13-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:995e70bb8c91d1b99ed2aaf8ec44863e06ad1dfbb45d7df95f76ef583ec323a9"},
+    {file = "regex-2022.9.13-cp36-cp36m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:ad75173349ad79f9d21e0d0896b27dcb37bfd233b09047bc0b4d226699cf5c87"},
+    {file = "regex-2022.9.13-cp36-cp36m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:7681c49da1a2d4b905b4f53d86c9ba4506e79fba50c4a664d9516056e0f7dfcc"},
+    {file = "regex-2022.9.13-cp36-cp36m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9bc8edc5f8ef0ebb46f3fa0d02bd825bbe9cc63d59e428ffb6981ff9672f6de1"},
+    {file = "regex-2022.9.13-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b7bee775ff05c9d519195bd9e8aaaccfe3971db60f89f89751ee0f234e8aeac5"},
+    {file = "regex-2022.9.13-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:1a901ce5cd42658ab8f8eade51b71a6d26ad4b68c7cfc86b87efc577dfa95602"},
+    {file = "regex-2022.9.13-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:14a7ab070fa3aec288076eed6ed828587b805ef83d37c9bfccc1a4a7cfbd8111"},
+    {file = "regex-2022.9.13-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:d23ac6b4bf9e32fcde5fcdb2e1fd5e7370d6693fcac51ee1d340f0e886f50d1f"},
+    {file = "regex-2022.9.13-cp36-cp36m-musllinux_1_1_ppc64le.whl", hash = "sha256:4cdbfa6d2befeaee0c899f19222e9b20fc5abbafe5e9c43a46ef819aeb7b75e5"},
+    {file = "regex-2022.9.13-cp36-cp36m-musllinux_1_1_s390x.whl", hash = "sha256:ab07934725e6f25c6f87465976cc69aef1141e86987af49d8c839c3ffd367c72"},
+    {file = "regex-2022.9.13-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:d2a1371dc73e921f3c2e087c05359050f3525a9a34b476ebc8130e71bec55e97"},
+    {file = "regex-2022.9.13-cp36-cp36m-win32.whl", hash = "sha256:fcbd1edff1473d90dc5cf4b52d355cf1f47b74eb7c85ba6e45f45d0116b8edbd"},
+    {file = "regex-2022.9.13-cp36-cp36m-win_amd64.whl", hash = "sha256:fe428822b7a8c486bcd90b334e9ab541ce6cc0d6106993d59f201853e5e14121"},
+    {file = "regex-2022.9.13-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:d7430f041755801b712ec804aaf3b094b9b5facbaa93a6339812a8e00d7bd53a"},
+    {file = "regex-2022.9.13-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:079c182f99c89524069b9cd96f5410d6af437e9dca576a7d59599a574972707e"},
+    {file = "regex-2022.9.13-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:59bac44b5a07b08a261537f652c26993af9b1bbe2a29624473968dd42fc29d56"},
+    {file = "regex-2022.9.13-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:a59d0377e58d96a6f11636e97992f5b51b7e1e89eb66332d1c01b35adbabfe8a"},
+    {file = "regex-2022.9.13-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b9d68eb704b24bc4d441b24e4a12653acd07d2c39940548761e0985a08bc1fff"},
+    {file = "regex-2022.9.13-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:0385d66e73cdd4462f3cc42c76a6576ddcc12472c30e02a2ae82061bff132c32"},
+    {file = "regex-2022.9.13-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:db45016364eec9ddbb5af93c8740c5c92eb7f5fc8848d1ae04205a40a1a2efc6"},
+    {file = "regex-2022.9.13-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:03ff695518482b946a6d3d4ce9cbbd99a21320e20d94913080aa3841f880abcd"},
+    {file = "regex-2022.9.13-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:6b32b45433df1fad7fed738fe15200b6516da888e0bd1fdd6aa5e50cc16b76bc"},
+    {file = "regex-2022.9.13-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:003a2e1449d425afc817b5f0b3d4c4aa9072dd5f3dfbf6c7631b8dc7b13233de"},
+    {file = "regex-2022.9.13-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:a9eb9558e1d0f78e07082d8a70d5c4d631c8dd75575fae92105df9e19c736730"},
+    {file = "regex-2022.9.13-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:f6e0321921d2fdc082ef90c1fd0870f129c2e691bfdc4937dcb5cd308aba95c4"},
+    {file = "regex-2022.9.13-cp37-cp37m-win32.whl", hash = "sha256:3f3b4594d564ed0b2f54463a9f328cf6a5b2a32610a90cdff778d6e3e561d08b"},
+    {file = "regex-2022.9.13-cp37-cp37m-win_amd64.whl", hash = "sha256:8aba0d01e3dfd335f2cb107079b07fdddb4cd7fb2d8c8a1986f9cb8ce9246c24"},
+    {file = "regex-2022.9.13-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:944567bb08f52268d8600ee5bdf1798b2b62ea002cc692a39cec113244cbdd0d"},
+    {file = "regex-2022.9.13-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:0b664a4d33ffc6be10996606dfc25fd3248c24cc589c0b139feb4c158053565e"},
+    {file = "regex-2022.9.13-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:f06cc1190f3db3192ab8949e28f2c627e1809487e2cfc435b6524c1ce6a2f391"},
+    {file = "regex-2022.9.13-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6c57d50d4d5eb0c862569ca3c840eba2a73412f31d9ecc46ef0d6b2e621a592b"},
+    {file = "regex-2022.9.13-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:19a4da6f513045f5ba00e491215bd00122e5bd131847586522463e5a6b2bd65f"},
+    {file = "regex-2022.9.13-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a926339356fe29595f8e37af71db37cd87ff764e15da8ad5129bbaff35bcc5a6"},
+    {file = "regex-2022.9.13-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:091efcfdd4178a7e19a23776dc2b1fafb4f57f4d94daf340f98335817056f874"},
+    {file = "regex-2022.9.13-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:880dbeb6bdde7d926b4d8e41410b16ffcd4cb3b4c6d926280fea46e2615c7a01"},
+    {file = "regex-2022.9.13-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:73b985c9fc09a7896846e26d7b6f4d1fd5a20437055f4ef985d44729f9f928d0"},
+    {file = "regex-2022.9.13-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:c0b7cb9598795b01f9a3dd3f770ab540889259def28a3bf9b2fa24d52edecba3"},
+    {file = "regex-2022.9.13-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:37e5a26e76c46f54b3baf56a6fdd56df9db89758694516413757b7d127d4c57b"},
+    {file = "regex-2022.9.13-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:99945ddb4f379bb9831c05e9f80f02f079ba361a0fb1fba1fc3b267639b6bb2e"},
+    {file = "regex-2022.9.13-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:8dcbcc9e72a791f622a32d17ff5011326a18996647509cac0609a7fc43adc229"},
+    {file = "regex-2022.9.13-cp38-cp38-win32.whl", hash = "sha256:d3102ab9bf16bf541ca228012d45d88d2a567c9682a805ae2c145a79d3141fdd"},
+    {file = "regex-2022.9.13-cp38-cp38-win_amd64.whl", hash = "sha256:14216ea15efc13f28d0ef1c463d86d93ca7158a79cd4aec0f9273f6d4c6bb047"},
+    {file = "regex-2022.9.13-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:9a165a05979e212b2c2d56a9f40b69c811c98a788964e669eb322de0a3e420b4"},
+    {file = "regex-2022.9.13-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:14c71437ffb89479c89cc7022a5ea2075a842b728f37205e47c824cc17b30a42"},
+    {file = "regex-2022.9.13-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:ee7045623a5ace70f3765e452528b4c1f2ce669ed31959c63f54de64fe2f6ff7"},
+    {file = "regex-2022.9.13-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:6e521d9db006c5e4a0f8acfef738399f72b704913d4e083516774eb51645ad7c"},
+    {file = "regex-2022.9.13-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:b86548b8234b2be3985dbc0b385e35f5038f0f3e6251464b827b83ebf4ed90e5"},
+    {file = "regex-2022.9.13-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2b39ee3b280e15824298b97cec3f7cbbe6539d8282cc8a6047a455b9a72c598"},
+    {file = "regex-2022.9.13-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:e6e6e61e9a38b6cc60ca3e19caabc90261f070f23352e66307b3d21a24a34aaf"},
+    {file = "regex-2022.9.13-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_12_x86_64.manylinux2010_x86_64.whl", hash = "sha256:d837ccf3bd2474feabee96cd71144e991472e400ed26582edc8ca88ce259899c"},
+    {file = "regex-2022.9.13-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:6adfe300848d61a470ec7547adc97b0ccf86de86a99e6830f1d8c8d19ecaf6b3"},
+    {file = "regex-2022.9.13-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:d5b003d248e6f292475cd24b04e5f72c48412231961a675edcb653c70730e79e"},
+    {file = "regex-2022.9.13-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:d5edd3eb877c9fc2e385173d4a4e1d792bf692d79e25c1ca391802d36ecfaa01"},
+    {file = "regex-2022.9.13-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:50e764ffbd08b06aa8c4e86b8b568b6722c75d301b33b259099f237c46b2134e"},
+    {file = "regex-2022.9.13-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:6d43bd402b27e0e7eae85c612725ba1ce7798f20f6fab4e8bc3de4f263294f03"},
+    {file = "regex-2022.9.13-cp39-cp39-win32.whl", hash = "sha256:7fcf7f94ccad19186820ac67e2ec7e09e0ac2dac39689f11cf71eac580503296"},
+    {file = "regex-2022.9.13-cp39-cp39-win_amd64.whl", hash = "sha256:322bd5572bed36a5b39952d88e072738926759422498a96df138d93384934ff8"},
+    {file = "regex-2022.9.13.tar.gz", hash = "sha256:f07373b6e56a6f3a0df3d75b651a278ca7bd357a796078a26a958ea1ce0588fd"},
+]
 requests = [
     {file = "requests-2.28.1-py3-none-any.whl", hash = "sha256:8fefa2a1a1365bf5520aac41836fbee479da67864514bdb821f31ce07ce65349"},
     {file = "requests-2.28.1.tar.gz", hash = "sha256:7c5599b102feddaa661c826c56ab4fee28bfd17f5abca1ebbe3e7f19d7c97983"},
@@ -1111,6 +1815,10 @@ rfc3986 = [
     {file = "rfc3986-2.0.0-py2.py3-none-any.whl", hash = "sha256:50b1502b60e289cb37883f3dfd34532b8873c7de9f49bb546641ce9cbd256ebd"},
     {file = "rfc3986-2.0.0.tar.gz", hash = "sha256:97aacf9dbd4bfd829baad6e6309fa6573aaf1be3f6fa735c8ab05e46cecb261c"},
 ]
+s3fs = [
+    {file = "s3fs-2022.10.0-py3-none-any.whl", hash = "sha256:1e134c3577171699feb7c1a0c4713260d5b48296e1708737ff940baef6e2c153"},
+    {file = "s3fs-2022.10.0.tar.gz", hash = "sha256:e8deb80f20bd0b2059141b874fdb9d6aeb8cce35312ea5f2c02b225a78a00406"},
+]
 SecretStorage = [
     {file = "SecretStorage-3.3.3-py3-none-any.whl", hash = "sha256:f356e6628222568e3af06f2eba8df495efa13b3b63081dafd4f7d9a7b7bc9f99"},
     {file = "SecretStorage-3.3.3.tar.gz", hash = "sha256:2403533ef369eca6d2ba81718576c5e0f564d5cca1b58f73a8b23e7d4eeebd77"},
@@ -1131,6 +1839,39 @@ smmap = [
     {file = "smmap-5.0.0-py3-none-any.whl", hash = "sha256:2aba19d6a040e78d8b09de5c57e96207b09ed71d8e55ce0959eeee6c8e190d94"},
     {file = "smmap-5.0.0.tar.gz", hash = "sha256:c840e62059cd3be204b0c9c9f74be2c09d5648eddd4580d9314c3ecde0b30936"},
 ]
+tokenizers = [
+    {file = "tokenizers-0.13.1-cp310-cp310-macosx_10_11_x86_64.whl", hash = "sha256:70de69681a264a5808d39f4bb6331be9a4dec51fd48cd1b959a94da76c4939cc"},
+    {file = "tokenizers-0.13.1-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:0a3412830ad66a643723d6b0fc3202e64e9e299bd9c9eda04b2914b5b1e0ddb0"},
+    {file = "tokenizers-0.13.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:afcb1bd6d9ed59d5c8e633765589cab12f98aae09804f156b5965b4463b8b8e3"},
+    {file = "tokenizers-0.13.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c73b9e6c107e980e65077b89c54311d8d645f6a9efdde82990777fa43c0a8cae"},
+    {file = "tokenizers-0.13.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fea71780b66f8c278ebae7221c8959404cf7343b8d2f4b7308aa668cf6f02364"},
+    {file = "tokenizers-0.13.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:680bc0e357b7da6d0d01634bffbd002e866fdaccde303e1d1af58f32464cf308"},
+    {file = "tokenizers-0.13.1-cp310-cp310-win32.whl", hash = "sha256:98bef54cf51ac335fda1408112df7ff3e584107633bd9066616033e12b0bd519"},
+    {file = "tokenizers-0.13.1-cp310-cp310-win_amd64.whl", hash = "sha256:d8fca8b492a4697b0182e0c40b164cb0c44a9669d9c98033fec2f88174605eb0"},
+    {file = "tokenizers-0.13.1-cp37-cp37m-macosx_10_11_x86_64.whl", hash = "sha256:4b3be8af87b357340b9b049d28067287b5e5e296e3120b6e4875d3b8469b67e6"},
+    {file = "tokenizers-0.13.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3c69a8389fd88bc32115e99db70f63bef577ba5c54f40a632580038a49612856"},
+    {file = "tokenizers-0.13.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:80864f456f715829f901ad5bb85af97e9ae52fc902270944804f6476ab8c6699"},
+    {file = "tokenizers-0.13.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:96a1beef1e64d44597627f4e29d794047a66ad4d7474d93daf5a0ee27928e012"},
+    {file = "tokenizers-0.13.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:db6872294339bf35c158219fc65bad939ba87d14c936ae7a33a3ca2d1532c5b1"},
+    {file = "tokenizers-0.13.1-cp37-cp37m-win32.whl", hash = "sha256:3acf3cae4c4739fc9ec49fa0e6cce224c1aa0fabc8f8d1358fd7de5c7d49cdca"},
+    {file = "tokenizers-0.13.1-cp37-cp37m-win_amd64.whl", hash = "sha256:16434c61c5eb72f6692b9bc52052b07ca92d3eba9dd72a1bc371890e1bdc3f07"},
+    {file = "tokenizers-0.13.1-cp38-cp38-macosx_10_11_x86_64.whl", hash = "sha256:8b3f97041f7716998e474d3c7ffd19ac6941f117616696aef2b5ba927bf091e3"},
+    {file = "tokenizers-0.13.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:126bcb18a77cf65961ece04f54bd10ef3713412195e543d9d3eda2f0e4fd677c"},
+    {file = "tokenizers-0.13.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:c3109ba62bea56c68c7c2a976250b040afee61b5f86fc791f17afaa2a09fce94"},
+    {file = "tokenizers-0.13.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:fd17b14f84bec0b171869abd17ca0d9bfc564aa1e7f3451f44da526949a911c1"},
+    {file = "tokenizers-0.13.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f75f476fe183c03c515a0f0f5d195cb05d93fcdc76e31fe3c9753d01f3ee990b"},
+    {file = "tokenizers-0.13.1-cp38-cp38-win32.whl", hash = "sha256:73198cda6e1d991c583ed798514863e16763aa600eb7aa6df7722373290575b2"},
+    {file = "tokenizers-0.13.1-cp38-cp38-win_amd64.whl", hash = "sha256:e1a90bc97f53600f52e902f3ae097424de712d8ae0e42d957efc7ed908573a20"},
+    {file = "tokenizers-0.13.1-cp39-cp39-macosx_10_11_x86_64.whl", hash = "sha256:910479e92d5fbdf91e8106b4c658fd43d418893d7cfd5fb11983c54a1ff53869"},
+    {file = "tokenizers-0.13.1-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:1d4acfdb6e7ef974677bb8445462db7fed240185fdc0f5b061db357d4ef8d85d"},
+    {file = "tokenizers-0.13.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b72dec85488af3e1e8d58fb4b86b5dbe5171c176002b5e098ea6d52a70004bb5"},
+    {file = "tokenizers-0.13.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:80b9552295fdce0a2513dcb795a3f8591eca1a8dcf8afe0de3214209e6924ad1"},
+    {file = "tokenizers-0.13.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:84fa41b58a8d3b7363ecdf3397d4b38f345fcf7d4dd14565b4360e7bffc9cae0"},
+    {file = "tokenizers-0.13.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3de653a551cc616a442a123da21706cb3a3163cf6919973f978f0921eee1bdf0"},
+    {file = "tokenizers-0.13.1-cp39-cp39-win32.whl", hash = "sha256:890d2139100b5c8ac6d585438d5e145ede1d7b32b4090a6c078db6db0ef1daea"},
+    {file = "tokenizers-0.13.1-cp39-cp39-win_amd64.whl", hash = "sha256:3ba43b3f6f6b41c97c1d041785342cd72ba142999f6c4605d628e8e937398f20"},
+    {file = "tokenizers-0.13.1.tar.gz", hash = "sha256:3333d1cee5c8f47c96362ea0abc1f81c77c9b92c6c3d11cbf1d01985f0d5cf1d"},
+]
 toml = [
     {file = "toml-0.10.2-py2.py3-none-any.whl", hash = "sha256:806143ae5bfb6a3c6e736a764057db0e6a0e05e338b5630894a5f779cabb4f9b"},
     {file = "toml-0.10.2.tar.gz", hash = "sha256:b3bda1d108d5dd99f4a20d24d9c348e91c4db7ab1b749200bded2f839ccbe68f"},
@@ -1143,10 +1884,36 @@ tomlkit = [
     {file = "tomlkit-0.11.5-py3-none-any.whl", hash = "sha256:f2ef9da9cef846ee027947dc99a45d6b68a63b0ebc21944649505bf2e8bc5fe7"},
     {file = "tomlkit-0.11.5.tar.gz", hash = "sha256:571854ebbb5eac89abcb4a2e47d7ea27b89bf29e09c35395da6f03dd4ae23d1c"},
 ]
+torch = [
+    {file = "torch-1.12.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:9c038662db894a23e49e385df13d47b2a777ffd56d9bcd5b832593fab0a7e286"},
+    {file = "torch-1.12.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:4e1b9c14cf13fd2ab8d769529050629a0e68a6fc5cb8e84b4a3cc1dd8c4fe541"},
+    {file = "torch-1.12.1-cp310-cp310-win_amd64.whl", hash = "sha256:e9c8f4a311ac29fc7e8e955cfb7733deb5dbe1bdaabf5d4af2765695824b7e0d"},
+    {file = "torch-1.12.1-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:976c3f997cea38ee91a0dd3c3a42322785414748d1761ef926b789dfa97c6134"},
+    {file = "torch-1.12.1-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:68104e4715a55c4bb29a85c6a8d57d820e0757da363be1ba680fa8cc5be17b52"},
+    {file = "torch-1.12.1-cp37-cp37m-manylinux1_x86_64.whl", hash = "sha256:743784ccea0dc8f2a3fe6a536bec8c4763bd82c1352f314937cb4008d4805de1"},
+    {file = "torch-1.12.1-cp37-cp37m-manylinux2014_aarch64.whl", hash = "sha256:b5dbcca369800ce99ba7ae6dee3466607a66958afca3b740690d88168752abcf"},
+    {file = "torch-1.12.1-cp37-cp37m-win_amd64.whl", hash = "sha256:f3b52a634e62821e747e872084ab32fbcb01b7fa7dbb7471b6218279f02a178a"},
+    {file = "torch-1.12.1-cp37-none-macosx_10_9_x86_64.whl", hash = "sha256:8a34a2fbbaa07c921e1b203f59d3d6e00ed379f2b384445773bd14e328a5b6c8"},
+    {file = "torch-1.12.1-cp37-none-macosx_11_0_arm64.whl", hash = "sha256:42f639501928caabb9d1d55ddd17f07cd694de146686c24489ab8c615c2871f2"},
+    {file = "torch-1.12.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:0b44601ec56f7dd44ad8afc00846051162ef9c26a8579dda0a02194327f2d55e"},
+    {file = "torch-1.12.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:cd26d8c5640c3a28c526d41ccdca14cf1cbca0d0f2e14e8263a7ac17194ab1d2"},
+    {file = "torch-1.12.1-cp38-cp38-win_amd64.whl", hash = "sha256:42e115dab26f60c29e298559dbec88444175528b729ae994ec4c65d56fe267dd"},
+    {file = "torch-1.12.1-cp38-none-macosx_10_9_x86_64.whl", hash = "sha256:a8320ba9ad87e80ca5a6a016e46ada4d1ba0c54626e135d99b2129a4541c509d"},
+    {file = "torch-1.12.1-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:03e31c37711db2cd201e02de5826de875529e45a55631d317aadce2f1ed45aa8"},
+    {file = "torch-1.12.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:9b356aea223772cd754edb4d9ecf2a025909b8615a7668ac7d5130f86e7ec421"},
+    {file = "torch-1.12.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:6cf6f54b43c0c30335428195589bd00e764a6d27f3b9ba637aaa8c11aaf93073"},
+    {file = "torch-1.12.1-cp39-cp39-win_amd64.whl", hash = "sha256:f00c721f489089dc6364a01fd84906348fe02243d0af737f944fddb36003400d"},
+    {file = "torch-1.12.1-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:bfec2843daa654f04fda23ba823af03e7b6f7650a873cdb726752d0e3718dada"},
+    {file = "torch-1.12.1-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:69fe2cae7c39ccadd65a123793d30e0db881f1c1927945519c5c17323131437e"},
+]
 tqdm = [
     {file = "tqdm-4.64.1-py2.py3-none-any.whl", hash = "sha256:6fee160d6ffcd1b1c68c65f14c829c22832bc401726335ce92c52d395944a6a1"},
     {file = "tqdm-4.64.1.tar.gz", hash = "sha256:5f4f682a004951c1b450bc753c710e9280c5746ce6ffedee253ddbcbf54cf1e4"},
 ]
+transformers = [
+    {file = "transformers-4.23.1-py3-none-any.whl", hash = "sha256:51bf21775296945bb665f8669c44cbacc1c61a9964c3d8aa2030fd30f940427b"},
+    {file = "transformers-4.23.1.tar.gz", hash = "sha256:f91085a31634efee509bcb0588d95b57713dcb990e516ffbe7c9a1813be14552"},
+]
 twine = [
     {file = "twine-3.8.0-py3-none-any.whl", hash = "sha256:d0550fca9dc19f3d5e8eadfce0c227294df0a2a951251a4385797c8a6198b7c8"},
     {file = "twine-3.8.0.tar.gz", hash = "sha256:8efa52658e0ae770686a13b675569328f1fba9837e5de1867bfe5f46a9aefe19"},
@@ -1171,6 +1938,133 @@ wheel = [
     {file = "wheel-0.37.1-py2.py3-none-any.whl", hash = "sha256:4bdcd7d840138086126cd09254dc6195fb4fc6f01c050a1d7236f2630db1d22a"},
     {file = "wheel-0.37.1.tar.gz", hash = "sha256:e9a504e793efbca1b8e0e9cb979a249cf4a0a7b5b8c9e8b65a5e39d49529c1c4"},
 ]
+wrapt = [
+    {file = "wrapt-1.14.1-cp27-cp27m-macosx_10_9_x86_64.whl", hash = "sha256:1b376b3f4896e7930f1f772ac4b064ac12598d1c38d04907e696cc4d794b43d3"},
+    {file = "wrapt-1.14.1-cp27-cp27m-manylinux1_i686.whl", hash = "sha256:903500616422a40a98a5a3c4ff4ed9d0066f3b4c951fa286018ecdf0750194ef"},
+    {file = "wrapt-1.14.1-cp27-cp27m-manylinux1_x86_64.whl", hash = "sha256:5a9a0d155deafd9448baff28c08e150d9b24ff010e899311ddd63c45c2445e28"},
+    {file = "wrapt-1.14.1-cp27-cp27m-manylinux2010_i686.whl", hash = "sha256:ddaea91abf8b0d13443f6dac52e89051a5063c7d014710dcb4d4abb2ff811a59"},
+    {file = "wrapt-1.14.1-cp27-cp27m-manylinux2010_x86_64.whl", hash = "sha256:36f582d0c6bc99d5f39cd3ac2a9062e57f3cf606ade29a0a0d6b323462f4dd87"},
+    {file = "wrapt-1.14.1-cp27-cp27mu-manylinux1_i686.whl", hash = "sha256:7ef58fb89674095bfc57c4069e95d7a31cfdc0939e2a579882ac7d55aadfd2a1"},
+    {file = "wrapt-1.14.1-cp27-cp27mu-manylinux1_x86_64.whl", hash = "sha256:e2f83e18fe2f4c9e7db597e988f72712c0c3676d337d8b101f6758107c42425b"},
+    {file = "wrapt-1.14.1-cp27-cp27mu-manylinux2010_i686.whl", hash = "sha256:ee2b1b1769f6707a8a445162ea16dddf74285c3964f605877a20e38545c3c462"},
+    {file = "wrapt-1.14.1-cp27-cp27mu-manylinux2010_x86_64.whl", hash = "sha256:833b58d5d0b7e5b9832869f039203389ac7cbf01765639c7309fd50ef619e0b1"},
+    {file = "wrapt-1.14.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:80bb5c256f1415f747011dc3604b59bc1f91c6e7150bd7db03b19170ee06b320"},
+    {file = "wrapt-1.14.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:07f7a7d0f388028b2df1d916e94bbb40624c59b48ecc6cbc232546706fac74c2"},
+    {file = "wrapt-1.14.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:02b41b633c6261feff8ddd8d11c711df6842aba629fdd3da10249a53211a72c4"},
+    {file = "wrapt-1.14.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:2fe803deacd09a233e4762a1adcea5db5d31e6be577a43352936179d14d90069"},
+    {file = "wrapt-1.14.1-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:257fd78c513e0fb5cdbe058c27a0624c9884e735bbd131935fd49e9fe719d310"},
+    {file = "wrapt-1.14.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:4fcc4649dc762cddacd193e6b55bc02edca674067f5f98166d7713b193932b7f"},
+    {file = "wrapt-1.14.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:11871514607b15cfeb87c547a49bca19fde402f32e2b1c24a632506c0a756656"},
+    {file = "wrapt-1.14.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:8ad85f7f4e20964db4daadcab70b47ab05c7c1cf2a7c1e51087bfaa83831854c"},
+    {file = "wrapt-1.14.1-cp310-cp310-win32.whl", hash = "sha256:a9a52172be0b5aae932bef82a79ec0a0ce87288c7d132946d645eba03f0ad8a8"},
+    {file = "wrapt-1.14.1-cp310-cp310-win_amd64.whl", hash = "sha256:6d323e1554b3d22cfc03cd3243b5bb815a51f5249fdcbb86fda4bf62bab9e164"},
+    {file = "wrapt-1.14.1-cp35-cp35m-manylinux1_i686.whl", hash = "sha256:43ca3bbbe97af00f49efb06e352eae40434ca9d915906f77def219b88e85d907"},
+    {file = "wrapt-1.14.1-cp35-cp35m-manylinux1_x86_64.whl", hash = "sha256:6b1a564e6cb69922c7fe3a678b9f9a3c54e72b469875aa8018f18b4d1dd1adf3"},
+    {file = "wrapt-1.14.1-cp35-cp35m-manylinux2010_i686.whl", hash = "sha256:00b6d4ea20a906c0ca56d84f93065b398ab74b927a7a3dbd470f6fc503f95dc3"},
+    {file = "wrapt-1.14.1-cp35-cp35m-manylinux2010_x86_64.whl", hash = "sha256:a85d2b46be66a71bedde836d9e41859879cc54a2a04fad1191eb50c2066f6e9d"},
+    {file = "wrapt-1.14.1-cp35-cp35m-win32.whl", hash = "sha256:dbcda74c67263139358f4d188ae5faae95c30929281bc6866d00573783c422b7"},
+    {file = "wrapt-1.14.1-cp35-cp35m-win_amd64.whl", hash = "sha256:b21bb4c09ffabfa0e85e3a6b623e19b80e7acd709b9f91452b8297ace2a8ab00"},
+    {file = "wrapt-1.14.1-cp36-cp36m-macosx_10_9_x86_64.whl", hash = "sha256:9e0fd32e0148dd5dea6af5fee42beb949098564cc23211a88d799e434255a1f4"},
+    {file = "wrapt-1.14.1-cp36-cp36m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9736af4641846491aedb3c3f56b9bc5568d92b0692303b5a305301a95dfd38b1"},
+    {file = "wrapt-1.14.1-cp36-cp36m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:5b02d65b9ccf0ef6c34cba6cf5bf2aab1bb2f49c6090bafeecc9cd81ad4ea1c1"},
+    {file = "wrapt-1.14.1-cp36-cp36m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:21ac0156c4b089b330b7666db40feee30a5d52634cc4560e1905d6529a3897ff"},
+    {file = "wrapt-1.14.1-cp36-cp36m-musllinux_1_1_aarch64.whl", hash = "sha256:9f3e6f9e05148ff90002b884fbc2a86bd303ae847e472f44ecc06c2cd2fcdb2d"},
+    {file = "wrapt-1.14.1-cp36-cp36m-musllinux_1_1_i686.whl", hash = "sha256:6e743de5e9c3d1b7185870f480587b75b1cb604832e380d64f9504a0535912d1"},
+    {file = "wrapt-1.14.1-cp36-cp36m-musllinux_1_1_x86_64.whl", hash = "sha256:d79d7d5dc8a32b7093e81e97dad755127ff77bcc899e845f41bf71747af0c569"},
+    {file = "wrapt-1.14.1-cp36-cp36m-win32.whl", hash = "sha256:81b19725065dcb43df02b37e03278c011a09e49757287dca60c5aecdd5a0b8ed"},
+    {file = "wrapt-1.14.1-cp36-cp36m-win_amd64.whl", hash = "sha256:b014c23646a467558be7da3d6b9fa409b2c567d2110599b7cf9a0c5992b3b471"},
+    {file = "wrapt-1.14.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:88bd7b6bd70a5b6803c1abf6bca012f7ed963e58c68d76ee20b9d751c74a3248"},
+    {file = "wrapt-1.14.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b5901a312f4d14c59918c221323068fad0540e34324925c8475263841dbdfe68"},
+    {file = "wrapt-1.14.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d77c85fedff92cf788face9bfa3ebaa364448ebb1d765302e9af11bf449ca36d"},
+    {file = "wrapt-1.14.1-cp37-cp37m-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8d649d616e5c6a678b26d15ece345354f7c2286acd6db868e65fcc5ff7c24a77"},
+    {file = "wrapt-1.14.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7d2872609603cb35ca513d7404a94d6d608fc13211563571117046c9d2bcc3d7"},
+    {file = "wrapt-1.14.1-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:ee6acae74a2b91865910eef5e7de37dc6895ad96fa23603d1d27ea69df545015"},
+    {file = "wrapt-1.14.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:2b39d38039a1fdad98c87279b48bc5dce2c0ca0d73483b12cb72aa9609278e8a"},
+    {file = "wrapt-1.14.1-cp37-cp37m-win32.whl", hash = "sha256:60db23fa423575eeb65ea430cee741acb7c26a1365d103f7b0f6ec412b893853"},
+    {file = "wrapt-1.14.1-cp37-cp37m-win_amd64.whl", hash = "sha256:709fe01086a55cf79d20f741f39325018f4df051ef39fe921b1ebe780a66184c"},
+    {file = "wrapt-1.14.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:8c0ce1e99116d5ab21355d8ebe53d9460366704ea38ae4d9f6933188f327b456"},
+    {file = "wrapt-1.14.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:e3fb1677c720409d5f671e39bac6c9e0e422584e5f518bfd50aa4cbbea02433f"},
+    {file = "wrapt-1.14.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:642c2e7a804fcf18c222e1060df25fc210b9c58db7c91416fb055897fc27e8cc"},
+    {file = "wrapt-1.14.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7b7c050ae976e286906dd3f26009e117eb000fb2cf3533398c5ad9ccc86867b1"},
+    {file = "wrapt-1.14.1-cp38-cp38-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ef3f72c9666bba2bab70d2a8b79f2c6d2c1a42a7f7e2b0ec83bb2f9e383950af"},
+    {file = "wrapt-1.14.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:01c205616a89d09827986bc4e859bcabd64f5a0662a7fe95e0d359424e0e071b"},
+    {file = "wrapt-1.14.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:5a0f54ce2c092aaf439813735584b9537cad479575a09892b8352fea5e988dc0"},
+    {file = "wrapt-1.14.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:2cf71233a0ed05ccdabe209c606fe0bac7379fdcf687f39b944420d2a09fdb57"},
+    {file = "wrapt-1.14.1-cp38-cp38-win32.whl", hash = "sha256:aa31fdcc33fef9eb2552cbcbfee7773d5a6792c137b359e82879c101e98584c5"},
+    {file = "wrapt-1.14.1-cp38-cp38-win_amd64.whl", hash = "sha256:d1967f46ea8f2db647c786e78d8cc7e4313dbd1b0aca360592d8027b8508e24d"},
+    {file = "wrapt-1.14.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3232822c7d98d23895ccc443bbdf57c7412c5a65996c30442ebe6ed3df335383"},
+    {file = "wrapt-1.14.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:988635d122aaf2bdcef9e795435662bcd65b02f4f4c1ae37fbee7401c440b3a7"},
+    {file = "wrapt-1.14.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9cca3c2cdadb362116235fdbd411735de4328c61425b0aa9f872fd76d02c4e86"},
+    {file = "wrapt-1.14.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d52a25136894c63de15a35bc0bdc5adb4b0e173b9c0d07a2be9d3ca64a332735"},
+    {file = "wrapt-1.14.1-cp39-cp39-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:40e7bc81c9e2b2734ea4bc1aceb8a8f0ceaac7c5299bc5d69e37c44d9081d43b"},
+    {file = "wrapt-1.14.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:b9b7a708dd92306328117d8c4b62e2194d00c365f18eff11a9b53c6f923b01e3"},
+    {file = "wrapt-1.14.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:6a9a25751acb379b466ff6be78a315e2b439d4c94c1e99cb7266d40a537995d3"},
+    {file = "wrapt-1.14.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:34aa51c45f28ba7f12accd624225e2b1e5a3a45206aa191f6f9aac931d9d56fe"},
+    {file = "wrapt-1.14.1-cp39-cp39-win32.whl", hash = "sha256:dee0ce50c6a2dd9056c20db781e9c1cfd33e77d2d569f5d1d9321c641bb903d5"},
+    {file = "wrapt-1.14.1-cp39-cp39-win_amd64.whl", hash = "sha256:dee60e1de1898bde3b238f18340eec6148986da0455d8ba7848d50470a7a32fb"},
+    {file = "wrapt-1.14.1.tar.gz", hash = "sha256:380a85cf89e0e69b7cfbe2ea9f765f004ff419f34194018a6827ac0e3edfed4d"},
+]
+yarl = [
+    {file = "yarl-1.8.1-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:abc06b97407868ef38f3d172762f4069323de52f2b70d133d096a48d72215d28"},
+    {file = "yarl-1.8.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:07b21e274de4c637f3e3b7104694e53260b5fc10d51fb3ec5fed1da8e0f754e3"},
+    {file = "yarl-1.8.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:9de955d98e02fab288c7718662afb33aab64212ecb368c5dc866d9a57bf48880"},
+    {file = "yarl-1.8.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ec362167e2c9fd178f82f252b6d97669d7245695dc057ee182118042026da40"},
+    {file = "yarl-1.8.1-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:20df6ff4089bc86e4a66e3b1380460f864df3dd9dccaf88d6b3385d24405893b"},
+    {file = "yarl-1.8.1-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:5999c4662631cb798496535afbd837a102859568adc67d75d2045e31ec3ac497"},
+    {file = "yarl-1.8.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ed19b74e81b10b592084a5ad1e70f845f0aacb57577018d31de064e71ffa267a"},
+    {file = "yarl-1.8.1-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:1e4808f996ca39a6463f45182e2af2fae55e2560be586d447ce8016f389f626f"},
+    {file = "yarl-1.8.1-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:2d800b9c2eaf0684c08be5f50e52bfa2aa920e7163c2ea43f4f431e829b4f0fd"},
+    {file = "yarl-1.8.1-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:6628d750041550c5d9da50bb40b5cf28a2e63b9388bac10fedd4f19236ef4957"},
+    {file = "yarl-1.8.1-cp310-cp310-musllinux_1_1_ppc64le.whl", hash = "sha256:f5af52738e225fcc526ae64071b7e5342abe03f42e0e8918227b38c9aa711e28"},
+    {file = "yarl-1.8.1-cp310-cp310-musllinux_1_1_s390x.whl", hash = "sha256:76577f13333b4fe345c3704811ac7509b31499132ff0181f25ee26619de2c843"},
+    {file = "yarl-1.8.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:0c03f456522d1ec815893d85fccb5def01ffaa74c1b16ff30f8aaa03eb21e453"},
+    {file = "yarl-1.8.1-cp310-cp310-win32.whl", hash = "sha256:ea30a42dc94d42f2ba4d0f7c0ffb4f4f9baa1b23045910c0c32df9c9902cb272"},
+    {file = "yarl-1.8.1-cp310-cp310-win_amd64.whl", hash = "sha256:9130ddf1ae9978abe63808b6b60a897e41fccb834408cde79522feb37fb72fb0"},
+    {file = "yarl-1.8.1-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:0ab5a138211c1c366404d912824bdcf5545ccba5b3ff52c42c4af4cbdc2c5035"},
+    {file = "yarl-1.8.1-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a0fb2cb4204ddb456a8e32381f9a90000429489a25f64e817e6ff94879d432fc"},
+    {file = "yarl-1.8.1-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:85cba594433915d5c9a0d14b24cfba0339f57a2fff203a5d4fd070e593307d0b"},
+    {file = "yarl-1.8.1-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:1ca7e596c55bd675432b11320b4eacc62310c2145d6801a1f8e9ad160685a231"},
+    {file = "yarl-1.8.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d0f77539733e0ec2475ddcd4e26777d08996f8cd55d2aef82ec4d3896687abda"},
+    {file = "yarl-1.8.1-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:29e256649f42771829974e742061c3501cc50cf16e63f91ed8d1bf98242e5507"},
+    {file = "yarl-1.8.1-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:7fce6cbc6c170ede0221cc8c91b285f7f3c8b9fe28283b51885ff621bbe0f8ee"},
+    {file = "yarl-1.8.1-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:59ddd85a1214862ce7c7c66457f05543b6a275b70a65de366030d56159a979f0"},
+    {file = "yarl-1.8.1-cp37-cp37m-musllinux_1_1_ppc64le.whl", hash = "sha256:12768232751689c1a89b0376a96a32bc7633c08da45ad985d0c49ede691f5c0d"},
+    {file = "yarl-1.8.1-cp37-cp37m-musllinux_1_1_s390x.whl", hash = "sha256:b19255dde4b4f4c32e012038f2c169bb72e7f081552bea4641cab4d88bc409dd"},
+    {file = "yarl-1.8.1-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:6c8148e0b52bf9535c40c48faebb00cb294ee577ca069d21bd5c48d302a83780"},
+    {file = "yarl-1.8.1-cp37-cp37m-win32.whl", hash = "sha256:de839c3a1826a909fdbfe05f6fe2167c4ab033f1133757b5936efe2f84904c07"},
+    {file = "yarl-1.8.1-cp37-cp37m-win_amd64.whl", hash = "sha256:dd032e8422a52e5a4860e062eb84ac94ea08861d334a4bcaf142a63ce8ad4802"},
+    {file = "yarl-1.8.1-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:19cd801d6f983918a3f3a39f3a45b553c015c5aac92ccd1fac619bd74beece4a"},
+    {file = "yarl-1.8.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:6347f1a58e658b97b0a0d1ff7658a03cb79bdbda0331603bed24dd7054a6dea1"},
+    {file = "yarl-1.8.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:7c0da7e44d0c9108d8b98469338705e07f4bb7dab96dbd8fa4e91b337db42548"},
+    {file = "yarl-1.8.1-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:5587bba41399854703212b87071c6d8638fa6e61656385875f8c6dff92b2e461"},
+    {file = "yarl-1.8.1-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:31a9a04ecccd6b03e2b0e12e82131f1488dea5555a13a4d32f064e22a6003cfe"},
+    {file = "yarl-1.8.1-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:205904cffd69ae972a1707a1bd3ea7cded594b1d773a0ce66714edf17833cdae"},
+    {file = "yarl-1.8.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ea513a25976d21733bff523e0ca836ef1679630ef4ad22d46987d04b372d57fc"},
+    {file = "yarl-1.8.1-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d0b51530877d3ad7a8d47b2fff0c8df3b8f3b8deddf057379ba50b13df2a5eae"},
+    {file = "yarl-1.8.1-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:d2b8f245dad9e331540c350285910b20dd913dc86d4ee410c11d48523c4fd546"},
+    {file = "yarl-1.8.1-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:ab2a60d57ca88e1d4ca34a10e9fb4ab2ac5ad315543351de3a612bbb0560bead"},
+    {file = "yarl-1.8.1-cp38-cp38-musllinux_1_1_ppc64le.whl", hash = "sha256:449c957ffc6bc2309e1fbe67ab7d2c1efca89d3f4912baeb8ead207bb3cc1cd4"},
+    {file = "yarl-1.8.1-cp38-cp38-musllinux_1_1_s390x.whl", hash = "sha256:a165442348c211b5dea67c0206fc61366212d7082ba8118c8c5c1c853ea4d82e"},
+    {file = "yarl-1.8.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:b3ded839a5c5608eec8b6f9ae9a62cb22cd037ea97c627f38ae0841a48f09eae"},
+    {file = "yarl-1.8.1-cp38-cp38-win32.whl", hash = "sha256:c1445a0c562ed561d06d8cbc5c8916c6008a31c60bc3655cdd2de1d3bf5174a0"},
+    {file = "yarl-1.8.1-cp38-cp38-win_amd64.whl", hash = "sha256:56c11efb0a89700987d05597b08a1efcd78d74c52febe530126785e1b1a285f4"},
+    {file = "yarl-1.8.1-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:e80ed5a9939ceb6fda42811542f31c8602be336b1fb977bccb012e83da7e4936"},
+    {file = "yarl-1.8.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6afb336e23a793cd3b6476c30f030a0d4c7539cd81649683b5e0c1b0ab0bf350"},
+    {file = "yarl-1.8.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4c322cbaa4ed78a8aac89b2174a6df398faf50e5fc12c4c191c40c59d5e28357"},
+    {file = "yarl-1.8.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fae37373155f5ef9b403ab48af5136ae9851151f7aacd9926251ab26b953118b"},
+    {file = "yarl-1.8.1-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:5395da939ffa959974577eff2cbfc24b004a2fb6c346918f39966a5786874e54"},
+    {file = "yarl-1.8.1-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:076eede537ab978b605f41db79a56cad2e7efeea2aa6e0fa8f05a26c24a034fb"},
+    {file = "yarl-1.8.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3d1a50e461615747dd93c099f297c1994d472b0f4d2db8a64e55b1edf704ec1c"},
+    {file = "yarl-1.8.1-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:7de89c8456525650ffa2bb56a3eee6af891e98f498babd43ae307bd42dca98f6"},
+    {file = "yarl-1.8.1-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:4a88510731cd8d4befaba5fbd734a7dd914de5ab8132a5b3dde0bbd6c9476c64"},
+    {file = "yarl-1.8.1-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:2d93a049d29df172f48bcb09acf9226318e712ce67374f893b460b42cc1380ae"},
+    {file = "yarl-1.8.1-cp39-cp39-musllinux_1_1_ppc64le.whl", hash = "sha256:21ac44b763e0eec15746a3d440f5e09ad2ecc8b5f6dcd3ea8cb4773d6d4703e3"},
+    {file = "yarl-1.8.1-cp39-cp39-musllinux_1_1_s390x.whl", hash = "sha256:d0272228fabe78ce00a3365ffffd6f643f57a91043e119c289aaba202f4095b0"},
+    {file = "yarl-1.8.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:99449cd5366fe4608e7226c6cae80873296dfa0cde45d9b498fefa1de315a09e"},
+    {file = "yarl-1.8.1-cp39-cp39-win32.whl", hash = "sha256:8b0af1cf36b93cee99a31a545fe91d08223e64390c5ecc5e94c39511832a4bb6"},
+    {file = "yarl-1.8.1-cp39-cp39-win_amd64.whl", hash = "sha256:de49d77e968de6626ba7ef4472323f9d2e5a56c1d85b7c0e2a190b2173d3b9be"},
+    {file = "yarl-1.8.1.tar.gz", hash = "sha256:af887845b8c2e060eb5605ff72b6f2dd2aab7a761379373fd89d314f4752abbf"},
+]
 zipp = [
     {file = "zipp-3.9.0-py3-none-any.whl", hash = "sha256:972cfa31bc2fedd3fa838a51e9bc7e64b7fb725a8c00e7431554311f180e9980"},
     {file = "zipp-3.9.0.tar.gz", hash = "sha256:3a7af91c3db40ec72dd9d154ae18e008c69efe8ca88dde4f9a731bb82fe2f9eb"},
diff --git a/pyproject.toml b/pyproject.toml
index add9751..5b1f6e2 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "transformer-embeddings"
-version = "2.1.0"
+version = "2.1.1"
 description = "Transformer Embeddings"
 authors = ["Headspace Health <transformer-embeddings@headspace.com>"]
 license = "Apache-2.0"
@@ -17,6 +17,9 @@ Changelog = "https://github.com/ginger-io/transformer-embeddings/releases"
 
 [tool.poetry.dependencies]
 python = "^3.7,<3.11"
+transformers = "^4.23.1"
+torch = "^1.9.1"
+s3fs = "^2022.10.0"
 
 [tool.poetry.group.test.dependencies]
 pytest = "^7.1.3"
@@ -32,7 +35,6 @@ python-semantic-release = "^7.32.1"
 
 [tool.isort]
 profile = "black"
-force_single_line = true
 lines_after_imports = 2
 
 [build-system]
diff --git a/src/transformer_embeddings/__init__.py b/src/transformer_embeddings/__init__.py
index 7f2ed7f..0c44348 100644
--- a/src/transformer_embeddings/__init__.py
+++ b/src/transformer_embeddings/__init__.py
@@ -1,1 +1,6 @@
 """Transformer Embeddings."""
+from transformer_embeddings.model import TransformerEmbeddings
+from transformer_embeddings.poolers import get_pooler_output, mean_pooling
+
+
+__version__ = "2.1.1"
diff --git a/src/transformer_embeddings/helpers.py b/src/transformer_embeddings/helpers.py
new file mode 100644
index 0000000..db600ff
--- /dev/null
+++ b/src/transformer_embeddings/helpers.py
@@ -0,0 +1,63 @@
+from os.path import commonpath
+from pathlib import Path
+from tarfile import open as tarfile_open
+from typing import List, Optional, Union
+
+
+def compress_files(
+    filenames: List[Union[str, Path]],
+    compressed_file: Union[str, Path],
+    arcname: Optional[Union[str, Path]] = None,
+) -> bool:
+    """
+    Given a list of files or directories, compress them into a tarball at the
+    compressed_file location.
+
+    Parameters
+    ----------
+    filenames : List[Union[str, Path]]
+        List of files or directories
+    compressed_file : Union[str, Path]
+        Destination compressed file.
+    arcname : Union[str, Path]
+        Base directory for the compressed file. Default: Maximum common path for all
+        the passed in filenames.
+
+    Returns
+    -------
+    bool
+        The status of the compress operation. Checks if the output file was created.
+
+    Raises
+    ------
+    NameError
+        Raised when the expected name of the compressed file doesn't end in tar or tar.gz.
+    """
+    # If the file to be written is provided as an str object, convert it to a Path object.
+    if isinstance(compressed_file, str):
+        compressed_file = Path(compressed_file)
+
+    # Ensure the file to be written ends with tar or tar.gz.
+    if compressed_file.name.endswith(".tar.gz") or compressed_file.name.endswith(
+        ".tar"
+    ):
+        tar_file = tarfile_open(compressed_file, "w:gz")
+    else:
+        raise NameError(
+            f"Name of compressed file ({compressed_file}) does not end in tar or tar.gz."
+        )
+
+    base_path = Path(commonpath(filenames))
+
+    for filename in filenames:
+        if isinstance(filename, str):
+            filename = Path(filename)
+
+        if arcname is None:
+            arcname = filename.relative_to(base_path)
+            # If common path is "", the arcname becomes a directory `.` in which all
+            # files are then stored. This line avoids that scenario.
+            arcname = "" if arcname.as_posix() == "." else arcname
+        tar_file.add(filename, arcname=arcname)
+    tar_file.close()
+    return compressed_file.exists()
diff --git a/src/transformer_embeddings/model.py b/src/transformer_embeddings/model.py
new file mode 100644
index 0000000..36298e4
--- /dev/null
+++ b/src/transformer_embeddings/model.py
@@ -0,0 +1,296 @@
+from logging import getLogger
+from pathlib import Path
+from shutil import copy2
+from tempfile import TemporaryDirectory
+from typing import Callable, List, Optional, Tuple, Union
+
+from s3fs import S3FileSystem
+from torch import Tensor, cat, cuda, device
+from torch.autograd.grad_mode import no_grad
+from torch.nn.functional import pad
+from tqdm.auto import trange
+from transformers import (
+    AutoModel,
+    AutoTokenizer,
+    BatchEncoding,
+    PreTrainedModel,
+    PreTrainedTokenizer,
+    PreTrainedTokenizerFast,
+)
+from transformers.file_utils import ModelOutput
+
+from transformer_embeddings.helpers import compress_files
+
+
+logger = getLogger(__name__)
+
+MODEL_TARBALL = "model.tar.gz"
+
+DEVICE_CUDA = device("cuda")
+DEVICE_CPU = device("cpu")
+DEVICE = DEVICE_CUDA if cuda.is_available() else DEVICE_CPU
+
+TransformerInputOutput = Union[BatchEncoding, ModelOutput]
+
+
+class TransformerEmbeddingsOutput(ModelOutput):
+    output: Optional[ModelOutput] = None
+    input: Optional[BatchEncoding] = None
+    pooled: Optional[Tensor] = None
+
+
+class TransformerEmbeddings:
+    """Thin wrapper on top of the HuggingFace's transformers library to simplify
+    generating embeddings."""
+
+    def __init__(
+        self,
+        model_name: Optional[Union[str, Path]] = None,
+        tokenizer: Union[PreTrainedTokenizer, PreTrainedTokenizerFast] = None,
+        model: PreTrainedModel = None,
+        batch_size: int = 16,
+        tensors_to_cpu: bool = True,
+        return_output: bool = True,
+        return_input: bool = False,
+        pooling_fn: Callable[[ModelOutput, BatchEncoding], Tensor] = None,
+    ):
+        """
+        Create a TransformerEmbeddings object.
+
+        Parameters
+        ----------
+        model_name : Union[str, Path], optional
+            Name of the model. Anything supported by HF's `from_pretrained()` method
+            (HF model hub model name, local path). Default: None.
+        tokenizer : Union[PreTrainedTokenizer, PreTrainedTokenizerFast], optional
+            Tokenizer object. Default: None.
+        model : PreTrainedModel, optional
+            Model object. Default: None.
+        batch_size : int, optional
+            Batch size for the foward pass. Default: 16.
+        tensors_to_cpu : bool, optional
+            Move the output back to CPU if this is operating on GPU? Default: True.
+        return_output : bool, optional
+            Should all the outputs from the model's forward pass be returned? Default: True.
+        return_input : bool, optional
+            Should the tokenized inputs be returned? Default: False.
+        pooling_fn : Callable[[ModelOutput, BatchEncoding], Tensor], optional
+            Function to apply to pool the output produced into a tensor. If provided,
+            self.return_pooled is set to True and returned.
+        """
+        self.load_model(model_name=model_name, tokenizer=tokenizer, model=model)
+
+        self.batch_size = batch_size
+        self.tensors_to_cpu = tensors_to_cpu
+        self.pooling_fn = pooling_fn
+
+        self.return_output = return_output
+        self.return_input = return_input
+        self.return_pooled = self.pooling_fn is not None
+
+        logger.info("TransformerEmbedddings model initialized.")
+
+    def load_model(
+        self,
+        model_name: Optional[str],
+        tokenizer: PreTrainedTokenizer,
+        model: PreTrainedModel,
+    ) -> None:
+        """
+        Load the model.
+
+        Raises
+        ------
+        ValueError
+            If either model or tokenizer are provided without the other, and model_name is also not provided.
+        """
+
+        if model_name and tokenizer is None:
+            logger.info(f"Loading tokenizer from {model_name}")
+            tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+        if model_name and model is None:
+            logger.info(f"Loading model from {model_name}")
+            model = AutoModel.from_pretrained(model_name)
+
+        if tokenizer is None:
+            raise ValueError("Tokenizer was not passed or created.")
+        else:
+            self.tokenizer = tokenizer
+
+        if model is None:
+            raise ValueError("Model was not passed or created.")
+        else:
+            self.model = model.to(DEVICE).eval()
+        logger.info(f"Model and tokenizer loaded, on device {DEVICE}, set to eval().")
+        if (
+            model.config
+            and model.config.max_position_embeddings
+            and tokenizer.model_max_length
+            and model.config.max_position_embeddings != tokenizer.model_max_length
+        ):
+            logger.warning(
+                f"Model's maximum position embeddings ({model.config.max_position_embeddings}) do not match tokenizer's maximum length ({tokenizer.model_max_length})."
+            )
+
+    def tokenize(self, input_strings: List[str]) -> BatchEncoding:
+        """
+        Tokenize the input.
+
+        Parameters
+        ----------
+        input_strings : List[str]
+            Input strings for the batch.
+
+        Returns
+        -------
+        BatchEncoding
+            Tokenizer output.
+        """
+        return self.tokenizer(
+            input_strings,
+            return_tensors="pt",
+            padding=True,
+            truncation=True,
+        )
+
+    def _pad_tensors(self, x: Tensor, y: Tensor) -> Tuple[Tensor, Tensor]:
+        """Pad tensors to equal length."""
+        max_length = max(x.shape[1], y.shape[1])
+        # padding passed to torch.nn.functional.pad are backwards from the last axis
+        # and is specified twice for each dimension (front and back).
+        # input tensors are 2D, output tensors are 3D.
+        # input and output tensors both have to be padded at dimension 1.
+        # padding for input tensors becomes: (0, max_length - x.shape[1])
+        # padding for output tensors becomes: (0, 0, 0, max_length - x.shape[1])
+        # See: https://pytorch.org/docs/master/generated/torch.nn.functional.pad.html
+        # We don't pad along the dimension we stack (dim=0; batch dimension), thus
+        # the -2. For the final dimension, we only pad at the back, hence the -1.
+        prefix_length = 2 * len(x.shape) - 2 - 1
+        pad_prefix = (0,) * prefix_length
+        x = pad(x, pad=pad_prefix + (max_length - x.shape[1],))
+        y = pad(y, pad=pad_prefix + (max_length - y.shape[1],))
+        return x, y
+
+    def _change_device(self, data: TransformerInputOutput) -> TransformerInputOutput:
+        """Move tensors to CPU if specified."""
+        if self.tensors_to_cpu:
+            for key, value in data.items():
+                data[key] = value.to(DEVICE_CPU)
+        return data
+
+    def _stack_batch(
+        self,
+        data: Optional[TransformerInputOutput],
+        batch_data: TransformerInputOutput,
+    ) -> TransformerInputOutput:
+        """Stack batch data with data from previous batches."""
+        # Stack.
+        if data is None:
+            data = batch_data
+        else:
+            for key, value in batch_data.items():
+                previous = data[key]
+                if previous.shape != value.shape:
+                    previous, value = self._pad_tensors(previous, value)
+                data[key] = cat((previous, value), dim=0)
+        return data
+
+    def _stack_pooled(self, pooled: Optional[Tensor], batch_pooled: Tensor) -> Tensor:
+        # Pooling always occurs on tensors on the same device, so we do not need to
+        # move them. The pooled tensor would already be on CPU if tensors_to_cpu is
+        # True, else they'd be on GPU. Either way, they'd be on the device we want it on.
+        return batch_pooled if pooled is None else cat((pooled, batch_pooled), dim=0)
+
+    def encode(self, input_strings: List[str]) -> TransformerEmbeddingsOutput:
+        """
+        Generate embeddings for the given input.
+
+        Parameters
+        ----------
+        input_strings : List[str]
+            String input for which embeddings should be generated.
+
+        Returns
+        -------
+        TransformerEmbeddingsOutput
+            Model output, inputs and / or pooled output.
+        """
+        logger.info(f"Generating embeddings for {len(input_strings)} input strings.")
+        output = None
+        input = None
+        pooled = None
+        for i in trange(0, len(input_strings), self.batch_size):
+            batch_tokenized_input = self.tokenize(
+                input_strings[i : i + self.batch_size]
+            )
+
+            with no_grad():
+                batch_outputs = self.model(**batch_tokenized_input.to(DEVICE))
+
+            # Move all tensors to CPU.
+            batch_tokenized_input = self._change_device(batch_tokenized_input)
+            batch_outputs = self._change_device(batch_outputs)
+
+            # Stack tensors from batch to output for all inputs.
+            if self.return_output:
+                output = self._stack_batch(output, batch_outputs)
+            if self.return_input:
+                input = self._stack_batch(input, batch_tokenized_input)
+            if self.return_pooled:
+                batch_pooled = self.pooling_fn(batch_outputs, batch_tokenized_input)
+                pooled = self._stack_pooled(pooled, batch_pooled)
+        return TransformerEmbeddingsOutput(output=output, input=input, pooled=pooled)
+
+    def export(
+        self,
+        output_dir: Optional[Union[str, Path]] = None,
+        additional_files: Optional[List[Union[str, Path]]] = None,
+        s3_path: Optional[str] = None,
+    ) -> Path:
+        """
+        Export the model and tokenizer to a directory and compress it into a tarball. If
+        an S3 path is provided, also upload the tarball to S3.
+
+        Parameters
+        ----------
+        output_dir : Optional[Union[str, Path]], optional
+            Output directory. Default: A temporary directory is created that is cleaned up when the function returns.
+        additional_files : Optional[List[Path]], optional
+            Additional files to include in the exported tarball. Default: None.
+        s3_path : Optional[str], optional
+            S3 path at which to upload the file. Default: None, which means that the file is not uploaded to S3.
+
+        Returns
+        -------
+        Path
+            Tarball path. If it was a temporary directory, it will be empty.
+        """
+        # Set directory.
+        temporary_directory = TemporaryDirectory()
+        if output_dir is None:
+            output_dir = temporary_directory.name
+        output_dir = Path(output_dir) if isinstance(output_dir, str) else output_dir
+        if not output_dir.exists() or output_dir.is_dir():
+            output_dir.mkdir(parents=True, exist_ok=True)
+
+        # Copy additional files into output directory before compressing.
+        for file in additional_files or []:
+            copy2(file, output_dir)
+
+        # Save model, tokenizer.
+        self.model.save_pretrained(output_dir)
+        self.tokenizer.save_pretrained(output_dir)
+
+        # Create a tarball.
+        logger.debug(f"Folder being added to the tarball is {output_dir}.")
+        compressed_file = output_dir.joinpath(MODEL_TARBALL)
+        compress_files([output_dir], compressed_file)
+        logger.info(f"Tarball {compressed_file} created.")
+
+        if s3_path:
+            s3_fs = S3FileSystem()
+            logger.info(f"Tarball {compressed_file} being uploaded to S3 at {s3_path}.")
+            s3_fs.open(s3_path, "wb").write(compressed_file.read_bytes())
+
+        return compressed_file
diff --git a/src/transformer_embeddings/poolers.py b/src/transformer_embeddings/poolers.py
new file mode 100644
index 0000000..e49759a
--- /dev/null
+++ b/src/transformer_embeddings/poolers.py
@@ -0,0 +1,58 @@
+from torch import Tensor, clamp
+from torch import sum as torch_sum
+from transformers import BatchEncoding
+from transformers.file_utils import ModelOutput
+
+
+def mean_pooling(model_output: ModelOutput, model_inputs: BatchEncoding) -> Tensor:
+    """
+    Mean pooling for the model output.
+
+    This is the unweighted average of the token embeddings, while ignoring padding
+    and padded tokens.
+    Copied from: https://huggingface.co/sentence-transformers/msmarco-distilroberta-base-v2
+    Comments ours :).
+
+    Parameters
+    ----------
+    model_output : ModelOutput
+        Output from the model.
+    model_inputs : BatchEncoding
+        Encoded, tokenized input to the model.
+
+    Returns
+    -------
+    Tensor
+        Mean pooled output.
+    """
+    # last_hidden_state is the per token embedding.
+    last_hidden_state = model_output.last_hidden_state
+    attention_mask = model_inputs.attention_mask
+    # Expand attention_mask (2D) to the shape of the last_hidden_state (3D).
+    attention_mask_expanded = (
+        attention_mask.unsqueeze(-1).expand(last_hidden_state.size()).float()
+    )
+    # Multiply with the expanded attention mask to make the
+    # last_hidden_state for padding tokens to 0.
+    sum_embeddings = torch_sum(last_hidden_state * attention_mask_expanded, dim=1)
+    sum_mask = clamp(attention_mask_expanded.sum(1), min=1e-9)
+    return sum_embeddings / sum_mask
+
+
+def get_pooler_output(model_output: ModelOutput, model_inputs: BatchEncoding) -> Tensor:
+    """
+    Return the pooler output.
+
+    Parameters
+    ----------
+    model_output : ModelOutput
+        Output from the model.
+    model_inputs : BatchEncoding
+        Encoded, tokenized input to the model. Not used in this function.
+
+    Returns
+    -------
+    Tensor
+        Pooler output.
+    """
+    return model_output.pooler_output


Test patch:
diff --git a/tests/test_model.py b/tests/test_model.py
new file mode 100644
index 0000000..5e9203c
--- /dev/null
+++ b/tests/test_model.py
@@ -0,0 +1,191 @@
+from pathlib import Path
+from tarfile import is_tarfile
+from tarfile import open as tarfile_open
+from typing import Callable
+
+from pytest import fixture, raises
+from torch import Tensor
+from transformers import (
+    AutoModel,
+    AutoTokenizer,
+    BatchEncoding,
+    PreTrainedModel,
+    PreTrainedTokenizer,
+    PreTrainedTokenizerFast,
+)
+from transformers.file_utils import ModelOutput
+
+from transformer_embeddings import TransformerEmbeddings
+from transformer_embeddings.model import (
+    TransformerEmbeddingsOutput,
+    TransformerInputOutput,
+)
+from transformer_embeddings.poolers import mean_pooling
+
+
+MESSAGES = [
+    "Lorem ipsum dolor sit amet",
+    "consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua.",
+]
+
+
+@fixture(
+    params=[
+        "prajjwal1/bert-tiny",
+        "sshleifer/tiny-distilroberta-base",
+        # "patrickvonplaten/longformer-random-tiny": We cannot test this since this model doesn't have a tokenizer.
+        # https://huggingface.co/patrickvonplaten/longformer-random-tiny/
+    ]
+)
+def model_name(request) -> str:
+    return request.param
+
+
+@fixture(params=[True, False])
+def return_input(request) -> bool:
+    return request.param
+
+
+@fixture(params=[True, False])
+def return_output(request) -> bool:
+    return request.param
+
+
+@fixture(params=[len(MESSAGES), 1])
+def batch_size(request) -> int:
+    return request.param
+
+
+# 2nd pooling_fn simply returns the pooler_output from the model.
+@fixture(params=[mean_pooling, lambda x, y: x.pooler_output])
+def pooling_fn(request) -> Callable:
+    return request.param
+
+
+def test_transformer_embeddings_model_name(model_name):
+    # Test transformer object init from model_name.
+    transformer = TransformerEmbeddings(model_name=model_name)
+
+    assert transformer.model is not None
+    assert transformer.tokenizer is not None
+
+    assert isinstance(transformer.model, PreTrainedModel)
+    assert isinstance(
+        transformer.tokenizer, (PreTrainedTokenizer, PreTrainedTokenizerFast)
+    )
+
+
+def test_transformer_embeddings_model_tokenizer(model_name):
+    # Test transformer object init from model and tokenizer.
+    model = AutoModel.from_pretrained(model_name)
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    transformer = TransformerEmbeddings(model=model, tokenizer=tokenizer)
+
+    assert transformer.model is not None
+    assert transformer.tokenizer is not None
+
+    assert isinstance(transformer.model, PreTrainedModel)
+    assert isinstance(
+        transformer.tokenizer, (PreTrainedTokenizer, PreTrainedTokenizerFast)
+    )
+
+
+def test_transformer_embeddings_model(model_name):
+    # Should raise ValueError if we pass in a model but no model name or tokenizer.
+    model = AutoModel.from_pretrained(model_name)
+    with raises(ValueError):
+        TransformerEmbeddings(model=model)
+
+
+def test_transformer_embeddings_tokenizer(model_name):
+    # Should raise ValueError if we pass in a tokenizer but no model name or model.
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+    with raises(ValueError):
+        TransformerEmbeddings(tokenizer=tokenizer)
+
+
+def test_transformer_embeddings_tokenize(model_name):
+    # Test tokenization.
+    transformer = TransformerEmbeddings(model_name=model_name)
+    tokenized_input = transformer.tokenize(MESSAGES)
+
+    assert isinstance(tokenized_input, BatchEncoding)
+
+    for key, value in tokenized_input.items():
+        assert isinstance(key, str)
+        assert isinstance(value, Tensor)
+
+
+def assert_transformer_input_output(transformer_input_output: TransformerInputOutput):
+    for key, value in transformer_input_output.items():
+        assert isinstance(key, str)
+        isinstance(value, Tensor)
+        # Forward pass with no_grad() doesn't set requires_grad.
+        assert not value.requires_grad
+        assert value.size()[0] == len(MESSAGES)
+
+
+def test_transformer_embeddings_encode(
+    model_name, batch_size, return_input, return_output, pooling_fn
+):
+    # Test embedding generation.
+    transformer = TransformerEmbeddings(
+        model_name=model_name,
+        batch_size=batch_size,
+        return_input=return_input,
+        return_output=return_output,
+        pooling_fn=pooling_fn,
+    )
+    embeddings_output = transformer.encode(MESSAGES)
+
+    assert isinstance(embeddings_output, TransformerEmbeddingsOutput)
+
+    output, input, pooled = (
+        embeddings_output.output,
+        embeddings_output.input,
+        embeddings_output.pooled,
+    )
+
+    assert (output is not None) == transformer.return_output
+    assert (input is not None) == transformer.return_input
+    assert (pooled is not None) == transformer.return_pooled
+
+    if output is not None:
+        assert isinstance(output, ModelOutput)
+        assert_transformer_input_output(output)
+
+    if input is not None:
+        assert isinstance(input, BatchEncoding)
+        assert_transformer_input_output(input)
+
+    if pooled is not None:
+        assert isinstance(pooled, Tensor)
+        assert pooled.size()[0] == len(MESSAGES)
+
+
+def test_transformer_embeddings_export(model_name, tmp_path):
+    transformer = TransformerEmbeddings(model_name=model_name)
+    compressed_file = transformer.export(output_dir=tmp_path)
+
+    assert isinstance(compressed_file, Path)
+    assert compressed_file.exists()
+    assert is_tarfile(compressed_file)
+
+
+def test_transformer_embeddings_export_additional_files(model_name, tmp_path):
+    # Additional file.
+    single_file = tmp_path.joinpath("latest")
+    single_file.write_text("this is a random text file.")
+
+    transformer = TransformerEmbeddings(model_name=model_name)
+    compressed_file = transformer.export(
+        output_dir=tmp_path.joinpath("compressed"),
+        additional_files=[single_file.as_posix()],
+    )
+
+    assert isinstance(compressed_file, Path)
+    assert compressed_file.exists()
+    assert is_tarfile(compressed_file)
+
+    tar_file = tarfile_open(compressed_file)
+    assert single_file.name in tar_file.getnames()
diff --git a/tests/test_placeholder.py b/tests/test_placeholder.py
deleted file mode 100644
index 072d165..0000000
--- a/tests/test_placeholder.py
+++ /dev/null
@@ -1,2 +0,0 @@
-def test_placeholder():
-    assert 1 == (1**2)
diff --git a/tests/test_poolers.py b/tests/test_poolers.py
new file mode 100644
index 0000000..adf8297
--- /dev/null
+++ b/tests/test_poolers.py
@@ -0,0 +1,32 @@
+from random import randint
+
+from pytest import mark
+from torch import Tensor, equal, mean, ones, rand
+from transformers import BatchEncoding
+from transformers.file_utils import ModelOutput
+
+from transformer_embeddings.poolers import get_pooler_output, mean_pooling
+
+
+@mark.repeat(10)
+def test_get_pooler_output():
+    # Use a random vector with a random batch size but 768 dimensions.
+    batch_size = randint(1, 100)
+    model_output = ModelOutput(pooler_output=rand(batch_size, 768))
+    result = get_pooler_output(model_output=model_output, model_inputs=None)
+    assert isinstance(result, Tensor)
+    assert equal(result, model_output.pooler_output)
+
+
+@mark.repeat(10)
+def test_mean_pooling():
+    tokens = randint(1, 100)
+    # Single batch.
+    # `BatchEncoding` objects are created with dicts as the first param.
+    model_input = BatchEncoding({"attention_mask": ones(1, tokens)})
+    model_output = ModelOutput(last_hidden_state=rand(1, tokens, 768))
+
+    mean_pooled = mean_pooling(model_output, model_input)
+    assert isinstance(mean_pooled, Tensor)
+    # We take mean on the sequence dimension (1).
+    assert equal(mean_pooled, mean(model_output.last_hidden_state, dim=1))