transformers
🤗 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.
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Verified repositories, classifications and analysis from the huggingface organization.
🤗 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.
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
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
This repository contains the Hugging Face Agents Course.
🤗 smolagents: a barebones library for agents that think in code.
🤗 LeRobot: Making AI for Robotics more accessible with end-to-end learning
Fully open reproduction of DeepSeek-R1
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
Minimalist ML framework for Rust
Train transformer language models with reinforcement learning. Built on top of the Transformers ecosystem, TRL supports a variety of model architectures and modalities, and can be scaled-up across various hardware setups.
State-of-the-Art Embeddings, Retrieval, and Reranking
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
GitHub describes it as Build local voice agents with open-source models. The repository metadata lists Python as its primary language. The metadata lists the Apache-2.0 license. This article stays within the project description and details documented in the GitHub repository README.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
Give your agents the power of the Hugging Face ecosystem
The open source codebase powering HuggingChat
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
A course on aligning smol models.
Robust recipes to align language models with human and AI preferences