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.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Hugging Face Transformers — Machine Learning Model Library"
slug: "hugging-face-transformers-ml-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."
github_stars: 159189
verification: "security_reviewed"
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
Use the upstream install or setup path that matches your environment:
- uv venv .my-env
- pip install "transformers[torch]"
- uv pip install "transformers[torch]"
- git clone https://github.com/huggingface/transformers.git
Requirements and caveats from upstream:
- Transformers works with Python 3.10+, and [PyTorch](https://pytorch.org/get-started/locally/) 2.4+.
- Create and activate a virtual environment with [venv](https://docs.python.org/3/library/venv.html) or [uv](https://docs.astral.sh/uv/), a fast Rust-based Python package and project manager.
- python -m venv .my-env
Basic usage or getting-started notes:
- We pledge to help support new state-of-the-art models and democratize their usage by having their model definition be
- py
- # venv
- Source: https://github.com/huggingface/transformers
- Extracted from upstream docs: https://raw.githubusercontent.com/huggingface/transformers/HEAD/README.md
## Documentation
- https://huggingface.co/docs/transformers/
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/hugging-face-transformers-ml-library/)
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