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Libraries

The Hub has support for dozens of libraries in the Open Source ecosystem. Thanks to the huggingface_hub Python library, it's easy to enable sharing your models on the Hub. The Hub supports many 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 their level of integration. Find all our supported libraries in the model-libraries.ts file.

LibraryDescriptionInference APIWidgetsDownload from HubPush to Hub
AdaptersA unified Transformers add-on for parameter-efficient and modular fine-tuning.
AllenNLPAn open-source NLP research library, built on PyTorch.
AsteroidPyTorch-based audio source separation toolkit
BERTopicBERTopic is a topic modeling library for text and images
DiffusersA modular toolbox for inference and training of diffusion models
docTRModels and datasets for OCR-related tasks in PyTorch & TensorFlow
ESPnetEnd-to-end speech processing toolkit (e.g. TTS)
fastaiLibrary to train fast and accurate models with state-of-the-art outputs.
KerasOpen-source multi-backend deep learning framework, with support for JAX, TensorFlow, and PyTorch.
KerasNLPNatural language processing library built on top of Keras that works natively with TensorFlow, JAX, or PyTorch.
TF-Keras (legacy)Legacy library that uses a consistent and simple API to build models leveraging TensorFlow and its ecosystem.
FlairVery simple framework for state-of-the-art NLP.
MBRL-LibPyTorch implementations of MBRL Algorithms.
MidiTokTokenizers for symbolic music / MIDI files.
ML-AgentsEnables games and simulations made with Unity to serve as environments for training intelligent agents.
MLXModel training and serving framework on Apple silicon made by Apple.
NeMoConversational AI toolkit built for researchers
OpenCLIPLibrary for open-source implementation of OpenAI's CLIP
PaddleNLPEasy-to-use and powerful NLP library built on PaddlePaddle
PEFTCutting-edge Parameter Efficient Fine-tuning Library
PyannoteNeural building blocks for speaker diarization.
PyCTCDecodeLanguage model supported CTC decoding for speech recognition
PythaeUnified framework for Generative Autoencoders in Python
RL-Baselines3-ZooTraining framework for Reinforcement Learning, using Stable Baselines3.
Sample FactoryCodebase for high throughput asynchronous reinforcement learning.
Sentence TransformersCompute dense vector representations for sentences, paragraphs, and images.
SetFitEfficient few-shot text classification with Sentence Transformers
spaCyAdvanced Natural Language Processing in Python and Cython.
SpanMarkerFamiliar, simple and state-of-the-art Named Entity Recognition.
Scikit Learn (using skops)Machine Learning in Python.
SpeechbrainA PyTorch Powered Speech Toolkit.
Stable-Baselines3Set of reliable implementations of deep reinforcement learning algorithms in PyTorch
TensorFlowTTSReal-time state-of-the-art speech synthesis architectures.
TimmCollection of image models, scripts, pretrained weights, etc.
TransformersState-of-the-art Natural Language Processing for PyTorch, TensorFlow, and JAX
Transformers.jsState-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Unity SentisInference engine for the Unity 3D game engine

How can I add a new library to the Inference API?

If you're interested in adding your library, please reach out to us! Read about it in Adding a Library Guide.

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