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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.
Datasets
Access and share datasets for computer vision, audio, and NLP tasks.
Tokenizers
Fast tokenizers, optimized for both research and production.
Gradio
Build machine learning demos and other web apps, in just a few lines of Python.
Hub Client Library
Client library for the HF Hub: manage repositories from your Python runtime.
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.
Accelerate
Easily train and use PyTorch models with multi-GPU, TPU, mixed-precision.
Amazon SageMaker
Train and Deploy Transformer models with Amazon SageMaker and Hugging Face DLCs.
Optimum
Fast training and inference of HF Transformers with easy to use hardware optimization tools.
Course
This course will teach you about natural language processing using libraries from the HF ecosystem.
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.
Diffusers
State-of-the-art diffusion models for image and audio generation in PyTorch.
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