---
title: "Hugging Face Transformers — Machine Learning Model Library"
description: "Hugging Face Transformers provides 400,000+ pretrained models for NLP, computer vision, audio, and multimodal tasks with a unified API across PyTorch, TensorFlow, and JAX for training, fine-tuning, and deployment."
verification: "listed"
source: "https://github.com/huggingface/transformers"
author: "Hugging Face"
category:
  - "Developer Tools"
framework:
  - "Multi-Framework"
tool_ecosystem:
  github_repo: "huggingface/transformers"
  github_stars: 159189
---

# Hugging Face Transformers — Machine Learning Model Library

Hugging Face Transformers provides 400,000+ pretrained models for NLP, computer vision, audio, and multimodal tasks with a unified API across PyTorch, TensorFlow, and JAX for training, fine-tuning, and deployment.

## Prerequisites

Python 3.9+, pip, PyTorch or TensorFlow

## Installation

Choose whichever fits your setup:

1. Copy this skill folder into your local skills directory.
2. Clone the repo and symlink or copy the skill into your agent workspace.
3. Add the repo as a git submodule if you manage shared skills centrally.
4. Install it through your internal provisioning or packaging workflow.
5. Download the folder directly from GitHub and place it in your skills collection.

Install command or upstream instructions:

```
pip install transformers
```

## Documentation

- https://huggingface.co/docs/transformers/

## Source

- [Agent Skill Exchange](https://agentskillexchange.com/skills/hugging-face-transformers-ml-library/)