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fix(deps): update sentence-transformers requirement from >=2.7.0 to >=5.5.1 in /nlp-orchestrator#1395

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fix(deps): update sentence-transformers requirement from >=2.7.0 to >=5.5.1 in /nlp-orchestrator#1395
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Updates the requirements on sentence-transformers to permit the latest version.

Release notes

Sourced from sentence-transformers's releases.

v5.5.1 - Small Multimodal patch

This patch release fixes a small quirk with multimodal inference when using single-key multimodal inputs like model.encode({"image": ...}).

Install this version with

# Training + Inference
pip install sentence-transformers[train]==5.5.1
Inference only, use one of:
pip install sentence-transformers==5.5.1
pip install sentence-transformers[onnx-gpu]==5.5.1
pip install sentence-transformers[onnx]==5.5.1
pip install sentence-transformers[openvino]==5.5.1
Multimodal dependencies (optional):
pip install sentence-transformers[image]==5.5.1
pip install sentence-transformers[audio]==5.5.1
pip install sentence-transformers[video]==5.5.1
Or combine as needed:
pip install sentence-transformers[train,onnx,image]==5.5.1

Bug fixed

Previously, inference like model.encode({"image": ...}) or model.encode([{"image": ...}, ...]) would be inferred as the ("image",) modality, which differed from the inferred modality of "image" for just model.encode(my_image) or model.encode([my_image, my_image_2, ...]).

This results in confusing errors if the model doesn't have a modality_config mapping for ("image",) in addition to "image", so now a single-key multimodal dict is collapsed to the bare modality (just "image" in this example).

This affected this code:

from sentence_transformers import SentenceTransformer
model = SentenceTransformer('BAAI/BGE-VL-base', trust_remote_code=True)
embedding = model.encode({"image": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/blog/ettin-reranker/mteb_ndcg10_all-MiniLM-L6-v2.png"})
print(embedding.shape)

Which previously failed as the model only implements a path for "text", "image", and ("image", "text").

All Changes

Full Changelog: huggingface/sentence-transformers@v5.5.0...v5.5.1

Commits
  • ce3ec6d Release v5.5.1
  • 610a7c5 [fix] Collapse single-key multimodal dicts to bare modality (#3779)
  • f9f3269 Merge branch 'main' into v5.5-release
  • 02dc21d Update index tip for v5.5.0 (#3774)
  • 833828b Release v5.5.0
  • 98ac358 [docs] Load models in float32 in the training examples & docs (#3773)
  • d8ee041 [docs] Use modality-neutral terms (input, document) in loss docs & docstrin...
  • 4c6850e [examples] Avoid LoggingHandler, silence httpx in examples (#3771)
  • 1418823 docs: fix grammar in parallel-sentence-mining README (#3769)
  • 22a383d [docs] Use direct class imports in examples & docs (drop `losses.MSELoss(.....
  • Additional commits viewable in compare view

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Updates the requirements on [sentence-transformers](https://github.com/huggingface/sentence-transformers) to permit the latest version.
- [Release notes](https://github.com/huggingface/sentence-transformers/releases)
- [Commits](huggingface/sentence-transformers@v2.7.0...v5.5.1)

---
updated-dependencies:
- dependency-name: sentence-transformers
  dependency-version: 5.5.1
  dependency-type: direct:production
...

Signed-off-by: dependabot[bot] <support@github.com>
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@dependabot dependabot Bot added the security label Jun 15, 2026
@dependabot dependabot Bot requested a review from viru0909-dev as a code owner June 15, 2026 10:56
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nyaysetu Error Error Jun 15, 2026 10:59am

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Hi @dependabot[bot], thanks for contributing to Nyay Setu! 🎉

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Review Summary

This PR has been reviewed and requires changes before it can be approved. The issues below must be resolved.

Issues to Resolve

Result Check Notes
FAIL Description Description is missing: a Checklist section with checkboxes.
FAIL Checklist No checklist found in the description.
FAIL Issue Link An issue number is referenced but without a closing keyword. Use 'Closes #NNN', 'Fixes #NNN', or 'Resolves #NNN' so the issue closes automatically on merge.

Passing Checks

Result Check Notes
PASS Title Title format is acceptable.
PASS UI Screenshot Screenshot or video is attached.
PASS Merge Conflicts No merge conflicts.
PASS Branch Freshness Branch was last updated 0.3 days ago.
PASS CI / Tests No CI checks are configured or results are not yet available.
PASS Code Quality No code quality issues detected in the diff.

To proceed: push the required fixes to dependabot/pip/nlp-orchestrator/sentence-transformers-gte-5.5.1 and the PR will be re-evaluated on the next review run.

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