Update transformers requirement from <5,>=4.56.0 to >=5.17.0,<6

[dependabot]

Updates the requirements on transformers to permit the latest version.

Release notes

Sourced from transformers's releases.

Release 5.17.0

Release v5.17.0

New Model additions

HYV4

Hy4-Preview is a 780B-parameter mixture-of-experts language model that activates 49B parameters per token. Each MoE layer holds 256 routed experts plus one always-active shared expert and routes every token to 8 of them. The context window is 1M tokens.

The architecture combines four features:

• Multi-head Latent Attention (MLA) compresses keys and values into a low-rank latent (kv_lora_rank) that kv_b_proj expands back to one key/value per query head.
• DeepSeek Sparse Attention (DSA) selects index_topk keys per query with a lightweight indexer. Following IndexShare, only the layers marked "full" in indexer_types run an indexer; "shared" layers reuse the previous full layer's selection.
• Gated MLA with learnable attention sinks, where each head owns a sink logit that participates in the softmax and contributes no value, as in GPT-OSS.
• Independent Hyper-Connections (iHC) replace the plain residual path with hc_mult parallel residual streams that are collapsed before, and redistributed after, every sublayer.

The implementation does not execute the multi-token prediction (MTP) layers. Released checkpoints keep those weights so that other runtimes can use them for speculative decoding; they are ignored at load time.

Links: Documentation

• Add h4 (#48473) by @​ArthurZucker in #48473

VibeVoice

VibeVoice is a novel framework for synthesizing high-fidelity, long-form speech with multiple speakers by employing a next-token diffusion approach within a Large Language Model (LLM) structure. It's designed to capture the authentic conversational "vibe" and is particularly suited for generating audio content like podcasts and multi-participant audiobooks.

Links: Documentation

• Implement VibeVoice (#40546) by @​pengzhiliang in #40546

NeoMME

NeoMME is a family of efficient 260M and 800M parameter multimodal-native multilingual foundation encoders from H Company. It processes multilingual text tokens and raw image patches in a single bidirectional Transformer encoder, without a separately pretrained vision tower or causal language model.

NeoMME-Retriever is a model fine-tuned from the NeoMME backbone for visual document retrieval with joint late-interaction and dense objectives. It takes text queries and documents (text or page screenshots) and produces multi-vector embeddings for MeanMaxSim scoring (late-interaction) and mean-pooled embeddings for cosine similarity (dense).

Links: Documentation

... (truncated)

Commits

• 856157a v5.17.0
• 5b7dcb0 MRoPE continued (#48594)
• 50bbcc6 [fix] Update stale expected strings in HunYuanVL integration tests (#48646)
• e8bcd79 [Quantizaiton]support 5/6/7 bits in AutoRound (#48481)
• 3283d5f [fix] Update stale golden values and fix expected_logits shape in FlavaForPre...
• 5f47b5a [tests] Fix integration test golden values broken by fast image processor def...
• fc50134 Add Fun-ASR-Nano model (#46180)
• d9fe823 Fix YOLOS device mismatch with device_map="auto" (#46886)
• cbc1651 [Generate] Avoid unconditionally downloading remote hub file (#48620)
• bd05a4b Honor shift_labels in decoder-only LLM/VLM losses (#48493)
• Additional commits viewable in compare view

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Summary by CodeRabbit

• Chores
  • Updated the Transformers dependency requirement to support the 5.x release series.

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ℹ️ Recent review info

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• requirements-core.txt

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📝 Walkthrough

Walkthrough

The Transformers dependency requirement changes from >=4.56.0,<5 to >=5.17.0,<6.

Changes

Transformers dependency

Layer / File(s)	Summary
Transformers version constraint requirements-core.txt	The minimum Transformers version increases to 5.17.0, and the maximum version changes from below 5 to below 6.

Priority: ⬇️ Low

Estimated code review effort: 1 (Trivial) | ~2 minutes

Change: Other

Suggested reviewers: d-ogi

🚥 Pre-merge checks | ✅ 4 | ❌ 1

❌ Failed checks (1 warning)

Check name	Status	Explanation	Resolution
Description check	⚠️ Warning	The description explains the dependency update and includes release notes, but it omits the required Problem and resulting behavior, Scope, Validation, and Review checklist sections.	Add all required template sections. Document the need for the dependency change, affected components and compatibility risks, exact validation commands with environments and results, unrun checks with reasons, and the completed review check…

✅ Passed checks (4 passed)

Check name	Status	Explanation
Title check	✅ Passed	The title clearly and concisely identifies the main change: updating the Transformers version requirement from the 4.x range to the 5.x range.
Docstring Coverage	✅ Passed	No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check. Docstring coverage is scoped to functions touched by this diff. Analyzed 0 functions across 0…
Linked Issues check	✅ Passed	Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check	✅ Passed	Check skipped because no linked issues were found for this pull request.

Full details: Description check

Resolution

Add all required template sections. Document the need for the dependency change, affected components and compatibility risks, exact validation commands with environments and results, unrun checks with reasons, and the completed review checklist.

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[dependabot]

Superseded by #103.