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transformers. 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

huggingface.co/transformers

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Updates

June 2026
  • Fix broken internal documentation links (#46945)
  • Insert a Grafana badge in the PR (#46774)
  • Add Nemotron 3.5 ASR Streaming (#46565)
  • [NemotronAsrStreaming] fix pipeline (#46870)
  • [NemotronAsrStreaming] processor without modular (#46865)
  • [`Dia`] Fix docs (#46923)
  • Qwen3 ASR and Forced Aligner (#43838)
  • [Docs] Fix full disk offloading docs (#46905)
  • Fix dtype casting for quantized multimodal embedders (#46904)
  • Fix flash attention with StaticCache (#46914)
  • [CB] Changes to increase max_batch_tokens (#46712)
  • Redirect to diffusers pipe in docs for experimental features (#46875)
  • Install in docker (#46910)
  • [CI] Use pre-computed `_OLD_MODELS` in `test_new_models_require_torch…
  • call transformers-ci in a nightly run (#46811)
  • [docs] full disk offloading (#46893)
  • TST Run fast PEFT tests in normal CI (#45679)
  • 🚨 EP: fix EP router contract for many models + honor FP8 scale format…
  • [docs] AITER kernels (#46871)
  • nemotron_asr_streaming: set _supports_flex_attn to False (#46878)