Hugging Face Hub Libraries
No, the Hub supports other libraries and we're working on expanding this support! We're happy to welcome to the Hub a set of Open Source libraries that are pushing Machine Learning forward.
The table below summarizes the supported libraries and how they are integrated. Find all our supported libraries here!
|Library||Description||Inference API||Widgets||Download from Hub||Push to Hub|
|🤗 Transformers||State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX||✅||✅||✅||✅|
|Adapter Transformers||Extends 🤗Transformers with Adapters.||❌||❌||✅||✅|
|AllenNLP||An open-source NLP research library, built on PyTorch.||✅||✅||✅||❌|
|Asteroid||Pytorch-based audio source separation toolkit||✅||✅||✅||❌|
|ESPnet||End-to-end speech processing toolkit (e.g. TTS)||✅||✅||✅||❌|
|Flair||Very simple framework for state-of-the-art NLP.||✅||✅||✅||❌|
|Pyannote||Neural building blocks for speaker diarization.||❌||❌||✅||❌|
|Sentence Transformers||Compute dense vector representations for sentences, paragraphs, and images.||✅||✅||✅||✅|
|spaCy||Advanced Natural Language Processing in Python and Cython.||✅||✅||✅||✅|
|TensorFlowTTS||Real-time state-of-the-art speech synthesis architectures.||❌||❌||✅||❌|
|Timm||Collection of image models, scripts, pretrained weights, etc.||❌||❌||✅||❌|
Read about it in Adding a Library Guide.