Huella pública de GitHub de Hugging Face

🤗 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.

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

State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Give your agents the power of the Hugging Face ecosystem

🤗 ml-intern: an open-source ML engineer that reads papers, trains models, and ships ML models

A course on aligning smol models.

A blazing fast inference solution for text embeddings models

The official Python client for the Hugging Face Hub.

🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code

Lighteval is your all-in-one toolkit for evaluating LLMs across multiple backends

Use Hugging Face with JavaScript

An interface library for RL post training with environments.

LLM powered development for VSCode

🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

LLM powered development for Neovim

No se proporcionó descripción para este repositorio.

No se proporcionó descripción para este repositorio.

Use AI Agents directly in Blender.

LSP server leveraging LLMs for code completion (and more?)

Mount Hugging Face Buckets and repos as local filesystems. No download, no copy, no waiting.

No se proporcionó descripción para este repositorio.

Build compute kernels and load them from the Hub.

Docs of the Hugging Face Hub

No se proporcionó descripción para este repositorio.

An open collection of methodologies to help with successful training of large language models.

An open collection of implementation tips, tricks and resources for training large language models

Gemma 2 optimized for your local machine.

⏰ AI conference deadline countdowns

Inference, Fine Tuning and many more recipes with Gemma family of models

Manage scalable open LLM inference endpoints in Slurm clusters

Code for instruction-tuning Stable Diffusion.

Hugging Face MCP Server

👷 Build compute kernels

No se proporcionó descripción para este repositorio.

SmolVLM2 Demo

General multi-task deep RL Agent

Inference server benchmarking tool

Modal-style sandbox API on top of Hugging Face Jobs

Kernel sources for https://huggingface.co/kernels-community

This repository contains the ML For Games Course

Hugging Face Inference Toolkit used to serve transformers, sentence-transformers, and diffusers models.

Additional code for Stable-baselines3 to load and upload models from the Hub.

Web application for visualizing robotics datasets in LeRobot format

LLM powered development for IntelliJ

A VSCode extension to use Hugging Face Inference Providers in Copilot Chat

🤗 LeLab: A web UI interface on top of LeRobot

Simple Python client for the Hugging Face Inference API

Set of auxiliary tools to use with image and video generation libaries. Mainly created to be used with diffusers

**ARCHIVED** Filesystem interface to 🤗 Hub

M4 experiment logbook

No se proporcionó descripción para este repositorio.

No se proporcionó descripción para este repositorio.

A framework for few-shot evaluation of language models.

No se proporcionó descripción para este repositorio.

Minimal repository to demonstrate fast LoRA inference with Flux family of models.

Lightweight web UI for annotating LeRobot datasets

No se proporcionó descripción para este repositorio.

Comprehensive Hugging Face Hub Library for rust

A GitHub Action that syncs your GitHub repository to Hugging Face Hub 🤗

A course on building Large Language Models

Ongoing research training transformer models at scale

No se proporcionó descripción para este repositorio.

A starter kit for evaluating benchmarks on the 🤗 Hub

Huggy is a Unity ML-Agents environment showcasing a dog mastering stick-catching through deep reinforcement learning.

Issue bot for transformers

Official Documentation for HUGS

Agentic framework for physics

SDK for creating Hugging Face Inference Endpoints deployments

Coding agent user interface

No se proporcionó descripción para este repositorio.

No se proporcionó descripción para este repositorio.

Run GitHub Actions on Hugging Face Jobs

No se proporcionó descripción para este repositorio.

Official Helm Chart for HUGS

No se proporcionó descripción para este repositorio.

MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers

Backend for the llm-perf leaderboard space

Experimental Hugging Face API for Transformers, Diffusers and Sentence Transformers, written in Python.

Tools for merging pretrained large language models.

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

LLM Academy

Benchmarks for the HuggingFace Kernel Community kernels

No se proporcionó descripción para este repositorio.

No se proporcionó descripción para este repositorio.

CLI extension for `hf` to run inference with Hugging Face Inference Providers.

No se proporcionó descripción para este repositorio.

Collection of evals for Inspect AI

Simple CLI Skill Installer/Updater for Hugging Face Skills

Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.

Accelerating the development of large multimodal models (LMMs) with lmms-eval

labbench2

Additional code for Tianshou to load and upload models from the Hub.

No se proporcionó descripción para este repositorio.

No se proporcionó descripción para este repositorio.

Benchmarking Knowledge Transfer in Lifelong Robot Learning

Asses and details for HUGS on GCP

No se proporcionó descripción para este repositorio.