π€ Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Chronos: Pretrained Models for Time Series Forecasting
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
The official CLI and Python client for the Hugging Face Hub.
Silero Models: pre-trained text-to-speech models made embarrassingly simple
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
Shared Ultralytics logos, media, sample images, pretrained model weights, dataset artifacts, and release assets.
An open source implementation of CLIP.
[ICLR 2026] The offical Implementation of "Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model"
A treasure chest for visual classification and recognition powered by PaddlePaddle
Toolkit to segment text into sentences or other semantic units in a robust, efficient and adaptable way.
Discover pretrained models for deep learning in MATLAB
Pretrained text classifiers you can run and retrain on CPU
A modular framework for vision & language multimodal research from Facebook AI Research (FAIR)
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
The PyTorch-based audio source separation toolkit for researchers
All-in-one training for vision models (YOLO, ViTs, RT-DETR, DINOv3): pretraining, fine-tuning, distillation.
PyTorch Lightning Optical Flow models, scripts, and pretrained weights.