# 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. Use when this capability is needed. - Skill: `tomevault-io/hugging-face-transformers-machine-learning-model-library` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add tomevault-io/hugging-face-transformers-machine-learning-model-library` - Raw SKILL.md: https://api.skillmd.com/api/skills/tomevault-io/hugging-face-transformers-machine-learning-model-library/raw - Safety review: pending (external: skill-scanner PASS, skillspector PASS) - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: tomevault-io (https://skillmd.com/u/tomevault-io) - Updated: 2026-09-17 - Page: https://skillmd.com/skills/tomevault-io/hugging-face-transformers-machine-learning-model-library --- # 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/) --- > Source: [agentskillexchange/skills](https://github.com/agentskillexchange/skills) — distributed by [TomeVault](https://tomevault.io).