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.
🤗 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.
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.
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
The open source codebase powering HuggingChat
Robust recipes to align language models with human and AI preferences
A blazing fast inference solution for text embeddings models
This repo contains the Hugging Face Deep Reinforcement Learning Course.
The Hugging Face course on Transformers
The official CLI and Python client for the Hugging Face Hub.
Efficient few-shot learning with Sentence Transformers
Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends
Use Hugging Face with JavaScript
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
Build, enrich, and transform datasets using AI models with no code