hugging-face-transformers-machine-learning-model-library

name	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. Use when this capability is needed.
metadata	{"author":"agentskillexchange"}

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 2.4+.
• Create and activate a virtual environment with venv or 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

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Source: agentskillexchange/skills — distributed by TomeVault.