Hugging Face Transformers

The de-facto library for using transformer models. Provides thousands of pre-trained models (GPT, BERT, Stable Diffusion, Whisper, LLaMA, and more) with a unified API. Supports PyTorch, TensorFlow, and JAX. Over 145K GitHub stars — the most popular ML library in the world. Best for anyone who wants to use state-of-the-art AI models without training from scratch.

AI ToolFree Tier: Fully free, open-source (Apache 2.0)Company: Hugging FaceCategory: Git ReposOpen Source: YesQuick Start: pip install transformers → from transformers import pipeline → classifier = pipeline('sentiment-analysis') → classifier('I love this product')

Hugging Face Transformers

145K★ — State-of-the-art ML models: text, image, audio, video, multimodal

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The de-facto library for using transformer models. Provides thousands of pre-trained models (GPT, BERT, Stable Diffusion, Whisper, LLaMA, and more) with a unified API. Supports PyTorch, TensorFlow, and JAX. Over 145K GitHub stars — the most popular ML library in the world. Best for anyone who wants to use state-of-the-art AI models without training from scratch.

FREE TIER
Fully free, open-source (Apache 2.0)
COMPANY
Hugging Face
CATEGORY
Git Repos › AI & ML
OPEN SOURCE
Yes
PRIVACY
Models run locally; optional HF Hub
TAGS
mlmodelspytorchnlpvision

QUICK START

pip install transformers → from transformers import pipeline → classifier = pipeline('sentiment-analysis') → classifier('I love this product')

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