semvec/pypi-packages huggingface dataset:
llama-index-llms-huggingface-api 0.6.2
llama-index llms huggingface api integration
Requires Python: <4.0,>=3.9

# LlamaIndex Llms Integration: Huggingface API

Integration with Hugging Face's Inference API for generating text.

For more information on Hugging Face's Inference API, visit [Hugging Face's Inference API documentation](https://huggingface.co/docs/api-inference/quicktour).

## Installation

```shell
pip install llama-index-llms-huggingface-api
```

## Usage

```python
from llama_index.llms.huggingface_api import HuggingFaceInferenceAPI

llm = HuggingFaceInferenceAPI(
    model_name="openai-community/gpt2",
    temperature=0.7,
    max_tokens=100,
    token="<your-token>",  # Optional
    provider="hf-inference",  # Optional
)

response = llm.complete("Hello, how are you?")
```
xmipp-metadata 1.2.2
Package to handle Xmipp Metadata and image binary data
Keywords: xmipp scipion cryoem imageprocessing scipion-3.0

<h1 align='center'>Xmipp Metadata Handler</h1>

<p align="center">
        
<img alt="Supported Python versions" src="https://img.shields.io/badge/Supported_Python_Versions-3.8_%7C_3.9_%7C_3.10_%7C_3.11_%7C_3.12-blue">
<img alt="GitHub Downloads (all assets, all releases)" src="https://img.shields.io/github/downloads/DavidHerreros/xmipp_metadata/total">
<img alt="GitHub branch check runs" src="https://img.shields.io/github/check-runs/DavidHerreros/xmipp_metadata/master">
<img alt="GitHub License" src="https://img.shields.io/github/license/DavidHerreros/xmipp_metadata">

</p>

<p align="center">
        
<img alt="Xmipp" width="300" src="https://github.com/I2PC/scipion-em-xmipp/raw/devel/xmipp3/xmipp_logo.png">

</p>

This package implements a Xmipp Metadata handling functionality with image binary accession in Python.

# Included functionalities

- **XmippMetadata** class: Reading and writing of Xmipp Metadata files (.xmd)
- **ImageHandler** class: Reading and writing of image binaries stored in the metadata. It support the following formats:
    - MRC files (reading and writing) for stacks and volumes (.mrcs and .mrc)
    - Spider files (reading and writing) for stacks and volumes (.stk and .vol)
    - EM files (reading and writing) for stack and images (.ems and .em)
elasticsearch-haystack 5.2.0
Haystack 2.x Document Store for ElasticSearch
Requires Python: >=3.10

# elasticsearch-haystack

[![PyPI - Version](https://img.shields.io/pypi/v/elasticsearch-haystack.svg)](https://pypi.org/project/elasticsearch-haystack)
[![PyPI - Python Version](https://img.shields.io/pypi/pyversions/elasticsearch-haystack.svg)](https://pypi.org/project/elasticsearch-haystack)

- [Integration page](https://haystack.deepset.ai/integrations/elasticsearch-document-store)
- [Changelog](https://github.com/deepset-ai/haystack-core-integrations/blob/main/integrations/elasticsearch/CHANGELOG.md)

---

## Contributing

Refer to the general [Contribution Guidelines](https://github.com/deepset-ai/haystack-core-integrations/blob/main/CONTRIBUTING.md).

To run integration tests locally, you need a Docker container running ElasticSearch.
Use the provided `docker-compose.yml` file to start the container: `docker compose up -d`.