transformers
🤗 Transformers:文本、视觉、音频和多模态模型中最先进的机器学习模型的模型定义框架,用于推理和训练。
HYSEN LABS 项目目录
来自 huggingface 组织的可信仓库、分类与深度解析。
🤗 Transformers:文本、视觉、音频和多模态模型中最先进的机器学习模型的模型定义框架,用于推理和训练。
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.
通过强化学习训练 Transformer 语言模型。 TRL 建立在 Transformers 生态系统之上,支持各种模型架构和模式,并且可以跨各种硬件设置进行扩展。
Build local voice agents with open-source models
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.
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.
LLM powered development for VSCode
LLM powered development for Neovim
Use AI Agents directly in Blender.