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Hugging Face - Learn We’re on a journey to advance and democratize artificial intelligence through open source and open science
Transformers - Hugging Face Transformers acts as the model-definition framework for state-of-the-art machine learning models in text, computer vision, audio, video, and multimodal model, for both inference and training It centralizes the model definition so that this definition is agreed upon across the ecosystem transformers is the pivot across frameworks: if a model definition is supported, it will be compatible with
Introduction - Hugging Face LLM Course The Jupyter notebooks containing all the code from the course are hosted on the huggingface notebooks repo If you wish to generate them locally, check out the instructions in the course repo on GitHub
Hugging Face Hub documentation The Hugging Face Hub is a platform with over 2M models, 500k datasets, and 1M demo apps (Spaces), all open source and publicly available, in an online platform where people can easily collaborate and build ML together The Hub works as a central place where anyone can explore, experiment, collaborate, and build technology with Machine Learning Are you ready to join the path towards open