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Host Git-based models, datasets and Spaces on the Hugging Face Hub.

State-of-the-art ML for Pytorch, TensorFlow, and JAX.

State-of-the-art diffusion models for image and audio generation in PyTorch.

Access and share datasets for computer vision, audio, and NLP tasks.

Build machine learning demos and other web apps, in just a few lines of Python.

Hub Python Library

Client library for the HF Hub: manage repositories from your Python runtime.

A collection of JS libraries to interact with Hugging Face, with TS types included.

Transformers.js

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

Inference API (serverless)

Experiment with over 200k models easily using the serverless tier of Inference Endpoints.

Inference Endpoints (dedicated)

Easily deploy models to production on dedicated, fully managed infrastructure.

Parameter efficient finetuning methods for large models.

Easily train and use PyTorch models with multi-GPU, TPU, mixed-precision.

Fast training and inference of HF Transformers with easy to use hardware optimization tools.

AWS Trainium & Inferentia

Train and Deploy Transformers & Diffusers with AWS Trainium and AWS Inferentia via Optimum.

Fast tokenizers, optimized for both research and production.

Evaluate and report model performance easier and more standardized.

All things about ML tasks: demos, use cases, models, datasets, and more!

API to access the contents, metadata and basic statistics of all Hugging Face Hub datasets.

Train transformer language models with reinforcement learning.

Amazon SageMaker

Train and Deploy Transformer models with Amazon SageMaker and Hugging Face DLCs.

State-of-the-art computer vision models, layers, optimizers, training/evaluation, and utilities.

Simple, safe way to store and distribute neural networks weights safely and quickly.

Text Generation Inference

Toolkit to serve Large Language Models.

AutoTrain API and UI.

Text Embeddings Inference

Toolkit to serve Text Embedding Models.

Create your own competitions on Hugging Face.

Toolkit to optimize and quantize models.

Sentence Transformers

Multilingual Sentence & Image Embeddings

Train and Deploy Transformer models with Hugging Face DLCs on Google Cloud.

Deploy models on Google TPUs via Optimum.

Open source chat frontend, powers the HuggingChat app.

Create your own Leaderboards on Hugging Face.

Your all-in-one toolkit for evaluating LLMs across multiple backends.

Collaboration tool for AI engineers and domain experts who need to build high quality datasets.

The framework for synthetic data generation and AI feedback.

Hugging Face Generative AI Services (HUGS)

Optimized, zero-configuration inference microservices designed to simplify and accelerate the development of AI applications with open models

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