Hugging Face
Organization@huggingface
The AI community building the future.
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3 MCP Servers55 Skills15 Agentsacross 14 categoriesThe Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/transformers/graphs/contributors)
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.
...moreThe Hugging Face team (past and future) with the help of all our contributors (https://github.com/huggingface/diffusers/graphs/contributors)
State-of-the-art diffusion in PyTorch and JAX.
HuggingFace Inc.
HuggingFace community-driven open-source library of datasets
Leandro von Werra <[email protected]>
Train transformer language models with reinforcement learning.
Nils Reimers <[email protected]>, Tom Aarsen <[email protected]>
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!
lkb_kbl_lkb
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
mkerix
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
hans00
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
Dependency-free constrained generation for Transformers.js
wanwenyan
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
w30010987
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
honsen
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
mbrunel
Bindings of huggingface tokenizers for web assembly.
Nicolas Patry <[email protected]>, Anthony Moi <[email protected]>
No description available
loretoparisi
Provides an implementation of today's most used tokenizers, with a focus on performances and versatility.
dkhokhlov
Provides an implementation of today's most used tokenizers, with a focus on performances and versatility.
Inference for text-embeddings in Rust, HFOIL Licence.
Python materials for the online course on diffusion models by [@huggingface](https://github.com/huggingface).
Hugging Face, Inc.
Client library to download and publish models, datasets and other repos on the huggingface.co hub
HuggingFace Inc. Special Ops Team
Optimum Library is an extension of the Hugging Face Transformers library, providing a framework to integrate third-party libraries from Hardware Partners and interface with their specific functionality.
...moreFreeing data processing from scripting madness by providing a set of platform-agnostic customizable pipeline processing blocks.
...moreMinimalistic large language model 3D-parallelism training.
coyotte508
Client for the Model Context Protocol
coyotte508
JS and WASM implementations of https://github.com/huggingface/xet-core/blob/main/deduplication/src/chunking.rs
GitHub Actions
Utilities to interact with the Hugging Face hub
burncloud
Typescript client for the Hugging Face Inference Providers and Inference Endpoints
GitHub Actions
a GGUF parser that works on remotely hosted files
coyotte508
List of ISO-639 languages used in the Hub
coyotte508
Use the Space mini_header outside Hugging Face
GitHub Actions
Parser for LeRobot robotics datasets hosted on the Hugging Face Hub
GitHub Actions
Various utilities for maintaining Ollama compatibility with models on Hugging Face hub
coyotte508
Lightweight, composable agents for AI applications
coyotte508
Utilities to convert URLs and files to Blobs, internally used by Hugging Face libs
GitHub Actions
OpenUSD viewer for the web: pure-Rust USD composition (openusd) in WASM, rendered with three.js
GitHub Actions
List of ML tasks for huggingface.co/tasks
GitHub Actions
Typescript client for the Hugging Face Inference Providers and Inference Endpoints
GitHub Actions
A minimalistic JavaScript implementation of the Jinja templating engine, specifically designed for parsing and rendering ML chat templates.
...morea lightweight LLM evaluation suite that Hugging Face has been using internally.
HuggingFace Inc.
HuggingFace community-driven open-source library of evaluation
GitHub Actions
[](https://github.com/huggingface/Mongoku/actions/workflows/ci.yml)
...morepierric
Production-ready Question Answering directly in Node.js
shahkashani
Production-ready Question Answering directly in Node.js
huggingface
A Command-Line Interface (CLI), Skill and MCP Server to interact with Papers with Code. For agents and humans.
Nicolas Patry
A package with helper tools to build an API Inference docker app for Hugging Face API inference using huggingface_hub
huggingface
Hugging Face Space: Model_Cards_Writing_Tool
Custom Hugging Face components for Visual Blocks
Thomas Simonini, Omar Sanseviero and Hugging Face Team
Additional code for Stable-baselines3 to load and upload models from the Hub.
GitHub Actions
🤗 Tokenizers.js: A pure JS/TS implementation of today's most used tokenizers
s-h-a-d-o-w
🤗 Tokenizers.js: A pure JS/TS implementation of today's most used tokenizers
huggingface
AI Space: huggingface/open-source-agent-contributions
HuggingFace Inc.
HuggingFace is a single library comprising the main HuggingFace libraries.