[dependabot]

Bumps transformers from 5.18.0 to 5.20.2.

Release notes

Sourced from transformers's releases.

Patch release v5.20.2

Patch release: v5.20.2

This patch notably solves an issue where some inputs could loose their original type inside prepare_inputs_for_generation in generate, leading to problems with multimodal models. It also fixes some other issues listed on the below commits.

It contains the following commits:

• Fix inputs dict casting in generate (#49731) by @​Cyrilvallez
• Fix zero expert gradients in bfloat16 with expert parallelism and ep_size < fsdp_size (#49688) by @​qgallouedec
• Declare the input modalities of the VLMs that report text only (#49677) by @​qgallouedec
• Avoid a host-to-device copy in eager_mask (#49684) by @​hmellor

Release v5.20.1

Special surprise including the new model Beam from Reflection AI 🥳

Beam is a token-efficient, frontier-scale model focused on coding and agentic use cases. It is built for teams that want to run a powerful model on their own hardware, infrastructure, or cloud, and customize it to their specific needs.

Links: Documentation

• Fix small bug in auto mappings (#49664) by @​yonigozlan in #49664

Some real patch fixes

We broke loading models on older torch versions 😢 should be fixed now. But here is the full list of fixes

• Fix HunYuan-VL image assignment during batched generation (#49557) by @​Arnav66692
• Fix DeepGEMM Mega MoE under expert parallelism(#49428) by @​IlyasMoutawwakil
• Fix from_pretrained on torch 2.7: require torch>=2.8 for distributed checkpointing (#49652) by @​naveecode
• Make DtensorShardOperation work on torch 2.6 and 2.7 (#49657) by @​hazelxue

Full Changelog: huggingface/transformers@v5.20.0...v5.20.1

Release v5.20.0

New Model additions

Muse Spark Open

Muse Spark Open is a multimodal mixture-of-experts model from Meta that takes text, images, audio, and video as input and generates text. It has 816B total parameters (42B active per token) and a context window of up to 1,048,576 tokens shared across modalities. It is trained for agentic coding tasks such as multi-file editing, debugging, and tool use. Checkpoints are available in BF16 and NVFP4 formats.

Links: Documentation | Blog Post

• Add Muse Spark Open (#49644) by @​guarin in #49644

... (truncated)

Commits

• 18329f1 Release: v5.20.2
• 2ce3082 Avoid a host-to-device copy in eager_mask (#49684)
• 62bc6fd Declare the input modalities of the VLMs that report text only (#49677)
• 30f4e38 Fix zero expert gradients in bfloat16 with expert parallelism and ep_size < f...
• ce8231f Fix inputs dict casting in generate (#49731)
• 0ea8779 v5.20.1
• de4f35f Fix small bug in auto mappings (#49664)
• 759c538 Make DtensorShardOperation work on torch 2.6 and 2.7 (#49657)
• c180e2d Fix from_pretrained on torch 2.7: require torch>=2.8 for distributed checkpoi...
• 10d36aa Fix DeepGEMM Mega MoE under expert parallelism (#49428)
• Additional commits viewable in compare view

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[fmueller]

@dependabot rebase