T
transformers
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.
★163kstars
Python
Apache-2.0
Updated: Today
📋 Project at a Glance
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What's this?A , built with Python open-source project in the Data & Infrastructure category, core strengths: audio/deep-learning
Who made it?Maintained by huggingface team, 163.4K⭐ on GitHub, #2 out of 3133 in Data & Infrastructure
Why does it exist?As the Data & Infrastructure landscape evolved, the huggingface team identified the need for better audio solutions. transformers was created to simplify deep-learning workflows.
What can it do?Key use cases: NLP Library, Pretrained, Pipeline
How to install with AI?Use an AI coding assistant (Claude Code, Cursor, Copilot) to automatically set up pip dependencies and virtual env. Follow the README — the AI handles the rest.
🔗 github.com/huggingface/transformers | 官网 https://huggingface.co/transformers
🔗 github.com/huggingface/transformers | 官网 https://huggingface.co/transformers
Topics
audiodeep-learningdeepseekgemmaglmhacktoberfestllmmachine-learningmodel-hubnatural-language-processingnlppretrained-modelspythonpytorchpytorch-transformersqwenspeech-recognitiontransformervlm
Use Cases
NLP LibraryPretrainedPipeline