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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 NLP, computer vision, and audio 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.
API Inference
Use more than 30k models through our inference API, with scalability built-in.
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 the Hugging Face Hub datasets
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