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Host Git-based models, datasets and spaces on the Hugging Face Hub.
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State-of-the-art ML for Pytorch, TensorFlow, and JAX.
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Access and share datasets for computer vision, audio, and NLP tasks.
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Build machine learning demos and other web apps, in just a few lines of Python.
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Client library for the HF Hub: manage repositories from your Python runtime.
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Use more than 30k models through our inference API, with scalability built-in.
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Easily train and use PyTorch models with multi-GPU, TPU, mixed-precision.
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Train and Deploy Transformer models with Amazon SageMaker and Hugging Face DLCs.
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Fast training and inference of HF Transformers with easy to use hardware optimization tools.
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This course will teach you about natural language processing using libraries from the HF ecosystem.
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