Hugging Face Transformers v4.11.3stable Released Oct 06, 2021
Impact Score: 5/10

Hugging Face Transformers: v4.11.3: Patch release

Source available โ€” automated, not human-reviewed

Component: transformers ยท Channel: stable. Automated analysis, not a compatibility certification. How this works.

Analysis updated: 2026-11-01.

Compatibility not verified โ€” check source notes
$ python -m pip install 'transformers==4.11.3'
๐Ÿ“„ .MD
โšก Executive Summary (TL;DR)

Hugging Face Transformers v4.11.3. Source highlight: v4.11.3: Patch release

Who Does This Impact? (Role-Based Analysis)

๐Ÿ’ป Software Engineers & Devs

Check the source notes against the package and APIs you use before upgrading.

๐Ÿ“Š Product & Engineering Leads

Use the documented changes to assess relevance to your product; release frequency alone is not a quality measure.

โš™๏ธ DevOps & Security

Verify the target version, runtime requirements and rollback procedure in the official documentation.

๐Ÿ”ง Bug Fixes & Patches (6)

  • [DPR] Correct init (#13796)
  • Fix warning situation: UserWarning: max_length is ignored when padding=True" (#13829)
  • Bart: check if decoder_inputs_embeds is set (#13800)
  • include megatron_gpt2 in installed modules (#13834)
  • Fixing 1-length special tokens cut. (#13862)
  • Fixing empty prompts for text-generation when BOS exists. (#13859)
๐Ÿ“„ View Raw Release Notes (Original Developer Log)
# v4.11.3: Patch release This patch release fixes a few issues encountered since the release of v4.11.2: - [DPR] Correct init (#13796) - Fix warning situation: UserWarning: max_length is ignored when padding=True" (#13829) - Bart: check if decoder_inputs_embeds is set (#13800) - include megatron_gpt2 in installed modules (#13834) - Fixing 1-length special tokens cut. (#13862) - Fixing empty prompts for text-generation when BOS exists. (#13859) - Fixing question-answering with long contexts (#13873) - Fixing GPU for token-classification in a better way. (#13856) - Fixing Backward compatiblity for zero-shot (#13855) - Fix hp search for non sigopt backends (#13897) - Fix trainer logging_nan_inf_filter in torch_xla mode #13896 (@ymwangg) - [Trainer] Fix nan-loss condition #13911 (@anton-l)