semvec/pypi-packages huggingface dataset:
ceotr-kml-tool 1.0.0
library tool to download and process KML files from SFMC
Requires Python: >=3.6

# metadata-xml

[![Create and validate and XML file](https://github.com/cioos-siooc/metadata-xml/actions/workflows/python.yaml/badge.svg)](https://github.com/cioos-siooc/metadata-xml/actions/workflows/python.yaml)
[![License: AGPL v3](https://img.shields.io/badge/License-AGPL_v3-blue.svg)](https://www.gnu.org/licenses/agpl-3.0)

`kml_tool` is a Python3 tool for converting telemetry data from Telemetry file or log files into XML

It can be used as a command line tool.

## Installation

Download code

Create ~/code/ if it does not exist cd into it
git clone git@gitlab.oceantrack.org:ocean-gliders-canada/sensor_tracker.git
cd sensor_tracker


Download code

Create ~/code/ if it does not exist cd into it
git clone git@gitlab.oceantrack.org:ocean-gliders-canada/sensor_tracker.git
cd sensor_tracker

Setup

Refer to run.sh for most setup operations

Setup python env

conda env create -f environment.yml
aiconfig-extension-hugging-face 0.0.13
An extension for using Hugging Face tasks to parse models for AIConfig.
Requires Python: >=3.10

This extension contains AIConfig model parsers with two main subfolders:

1. `local_inference`: Loads models onto your machine and uses Hugging Face transformers and diffusors locally.
2. `remote_inference_client`: Uses Hugging Face's InferenceClient API to connect to models remotely

## Usage

### Part 1: Update and test this extension

If you are not testing and developing locally (just using the published extension), ignore this and go to Part 2

1. From the `aiconfig/extensions/HuggingFace`, run this command: `pip3 install build && cd python && python -m build && pip3 install dist/*.whl`
2. Link your local dev environment to the current dir: `pip3 install -e .`. Afterwards if you do `pip3 list | grep aiconfig`, you should see this linked to your local path. If you ever wish to use the published extension, you will need to first remove the extension: `pip3 uninstall aiconfig-extension-hugging-face && pip3 install aiconfig-extension-hugging-face`
3. After you're done testing, be sure to delete the generated folder(s) in the `aiconfig/HuggingFace` dir. It'll probably look something like `python/dist` and `python/<package_name>.egg-info`

### Part 2: Importing and using this extension

``pip3 install aiconfig-extension-hugging-face``

1. Import the library to your code: `from aiconfig_extension_hugging_face import <EXTENSION>`.
2. Import the AIConfig model registery: `from aiconfig import ModelRegistryParser`
3. In code, add all the relevant model parser objects that you want to use from this extension to the registry. Ex: `ModelParserRegistry.register_model_parser(HuggingFaceTextGenerationTransformer())`. You can read the docstrings under `ModelParserRegistry` class for more info
4. In your AIConfig, add a field `model_parsers` with the model you want to use and the id of the extension you want to use: . Ex: https://github.com/lastmile-ai/aiconfig/blob/f1840995b7a12acba371a59ac3b8c69b3962fc68/cookbooks/Getting-Started/travel.aiconfig.json#L19-L22
5. Now whenever you call `aiconfig.run()` these model parsers will be loaded and available!