⬢github Python · 167.2K ★ +212 since we first saw it · pushed 3 h ago · Apache-2.0
huggingface/transformers
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Hugging Face Transformers is a widely used Python library that defines state-of-the-art machine learning models for text, vision, audio, video, and multimodal tasks. It supports both inference and training, centralizes model definitions, and integrates with pretrained checkpoints available on the Hugging Face Hub, making it easy to load and use thousands of models.
Why now: not clear from the sources
Who it is for: Machine learning engineers and researchers who want to train, fine-tune, or run inference with pretrained models.
audiodeep-learningdeepseekgemmaglmhacktoberfestllmmachine-learningmodel-hubnatural-language-processing
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