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HUGGING FACE TRANSFORMERS
Open-source framework for running and training transformer models
Apache-2.0
ABOUT
Working with state-of-the-art transformer models usually requires model-specific code, divergent training workflows, and custom inference glue across tasks and frameworks. Hugging Face Transformers gives developers a common library and APIs for loading, fine-tuning, and running pretrained transformer models so they can integrate modern ML capabilities without rebuilding model infrastructure from scratch.
INSTALL
uv pip install transformersINTEGRATION GUIDE
1. Load pretrained NLP, vision, audio, and multimodal transformer models in one framework
2. Fine-tune transformer models on custom datasets for downstream tasks and benchmarks
3. Build inference pipelines for summarization, classification, translation, and speech tasks
4. Reuse a common model-definition layer across training and inference tooling
TAGS
transformershugging-facepythonfine-tuninginferencemultimodal