Metadata-Version: 2.1
Name: optimum
Version: 0.1.1
Summary: Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality.
Home-page: https://huggingface.co/hardware
Author: HuggingFace Inc. Special Ops Team
Author-email: hardware@huggingface.co
License: Apache
Keywords: transformers,quantization,pruning,training,ipu
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Science/Research
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Description-Content-Type: text/markdown
Provides-Extra: onnxruntime
Provides-Extra: intel
Provides-Extra: graphcore
License-File: LICENSE

[![ONNX Runtime](https://github.com/huggingface/optimum/actions/workflows/test-onnxruntime.yml/badge.svg)](https://github.com/huggingface/optimum/actions/workflows/test-onnxruntime.yml)
[![neural_compressor](https://github.com/huggingface/optimum/actions/workflows/test-intel.yml/badge.svg)](https://github.com/huggingface/optimum/actions/workflows/test-intel.yml)

# Optimum

## Install
To install the latest release of this package:

`pip install optimum`

or from current main branch:

`pip install git+https://github.com/huggingface/optimum.git`

or for development, clone the repo and install it from the local copy:

```
git clone https://github.com/huggingface/optimum.git
cd optimum 
pip install -e .
```


