transformers
🤗 Transformers:文字、視覺、音訊和多模態模型中最先進的機器學習模型的模型定義框架,用於推理和訓練。
HYSEN LABS 專案目錄
來自 huggingface 組織的可信儲存庫、分類與深度解析。
🤗 Transformers:文字、視覺、音訊和多模態模型中最先進的機器學習模型的模型定義框架,用於推理和訓練。
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.
透過強化學習訓練 Transformer 語言模型。 TRL 建立在 Transformers 生態系統之上,支援各種模型架構和模式,並且可以跨各種硬體設定進行擴展。
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.