Transformers-Tutorials provides hands-on Hugging Face notebooks
Transformers-Tutorials is an open-source repository featuring practical, step-by-step Jupyter notebooks for building and deploying machine learning models with the Hugging Face Transformers library. The collection spans multiple modalities, offering clear code examples for fine-tuning architectures like BERT on named entity recognition and multi-label classification tasks, as well as running inference on audio and vision models.
Hands-on code notebooks remain the single most effective medium for accelerating developer adoption of complex machine learning frameworks. They simplify fine-tuning workflows for popular models like BERT across key NLP tasks while expanding beyond text into practical audio and computer vision implementations. This reduces friction for developers integrating Hugging Face Transformers into production pipelines.
DISCOVERED
1h ago
2026-08-02
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1h ago
2026-08-02
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