huggingface/transformers Python
🤗 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.
Why It Is Worth Watching
huggingface/transformers is worth watching as a Python project with 162,232 stars and 33,756 forks. Its main tags include audio, deep-learning, deepseek, gemma. The project description says: "🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models,…". It was last updated on 2026-07-04. Compared with the previous snapshot, it gained about 29 stars. It is a useful candidate for developers who are comparing tools, tracking open-source trends, or looking for practical examples in this area. Before adopting it, review the README examples, integration cost, license, issue activity, and release cadence.
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