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Documentations
Hub
Host Git-based models, datasets and Spaces on the Hugging Face Hub.
Transformers
State-of-the-art ML for Pytorch, TensorFlow, and JAX.
Diffusers
State-of-the-art diffusion models for image and audio generation in PyTorch.
Datasets
Access and share datasets for computer vision, audio, and NLP tasks.
Gradio
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.
Huggingface.js
A collection of JS libraries to interact with Hugging Face, with TS types included.
Transformers.js
Community library to run pretrained models from Transformers in your browser.
Inference API
Use more than 50k models through our public inference API, with scalability built-in.
Inference Endpoints
Easily deploy your model to production on dedicated, fully managed infrastructure.
PEFT
Parameter efficient finetuning methods for large models
Accelerate
Easily train and use PyTorch models with multi-GPU, TPU, mixed-precision.
Optimum
Fast training and inference of HF Transformers with easy to use hardware optimization tools.
Optimum Neuron
Train and Deploy Transformers & Diffusers with AWS Trainium and AWS Inferentia.
Tokenizers
Fast tokenizers, optimized for both research and production.
Evaluate
Evaluate and report model performance easier and more standardized.
Tasks
All things about ML tasks: demos, use cases, models, datasets, and more!
Datasets-server
API to access the contents, metadata and basic statistics of all Hugging Face Hub datasets.
Simulate
Create and share simulation environments for intelligent agents and synthetic data generation.
Amazon SageMaker
Train and Deploy Transformer models with Amazon SageMaker and Hugging Face DLCs.
timm
State-of-the-art computer vision models, layers, optimizers, training/evaluation, and utilities.
Safetensors
Simple, safe way to store and distribute neural networks weights safely and quickly.
AutoTrain
AutoTrain API and UI
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