Transformers
Hugging Face library for state-of-the-art NLP models
About
Transformers is the Hugging Face library that serves as a shared model-definition framework for text, vision, audio, video, and multimodal machine learning. It provides thousands of pretrained models with a consistent API for inference and training across PyTorch, and historically TensorFlow and JAX. Because model definitions are centralized here, they stay compatible across the wider ecosystem of training and serving tools. Apache 2.0 licensed.
Reviews (0)
Leave a Review
No reviews yet. Be the first to review!
Details
- Category
- AI Frameworks & Libraries
- Price
- Free
- Platform
- Local/Desktop
- Difficulty
- Intermediate (3/5)
- License
- Apache-2.0
- Added
- Jan 29, 2026
Related Tools
Unified system for large-scale distributed training and inference.
Guidance language for controlling LLM generation with constraints, grammars, and JSON schemas.
Library for easily accessing and processing ML datasets.
JAX neural network library with PyTorch-like module system.
High-level deep learning API supporting JAX, TensorFlow, and PyTorch backends.
Gradient boosting library by Yandex with native categorical feature handling.