chore(deps): bump sentence-transformers from 6.0.1 to 6.1.0 in /service/scripts

[dependabot]

Bumps sentence-transformers from 6.0.1 to 6.1.0.

Release notes

Sourced from sentence-transformers's releases.

v6.1.0 - Documentation and input handling improvements

This is a small release with refreshed inference benchmarks, clearer documentation, and a few improvements to multimodal input handling.

Install this version with

# Training + Inference
pip install sentence-transformers[train]==6.1.0
Inference only, use one of:
pip install sentence-transformers==6.1.0
pip install sentence-transformers[onnx-gpu]==6.1.0
pip install sentence-transformers[onnx]==6.1.0
pip install sentence-transformers[openvino]==6.1.0
Multimodal dependencies (optional):
pip install sentence-transformers[image]==6.1.0
pip install sentence-transformers[audio]==6.1.0
pip install sentence-transformers[video]==6.1.0
Or combine as needed:
pip install sentence-transformers[train,onnx,image]==6.1.0

Changes

• Refreshed the inference benchmarks and efficiency guide, clarified benchmark labels, and documented ONNX CPU thread tuning (#3977, #4007, #3987).
• Added a shared input formats guide and SPARSEUP to the pretrained sparse model tables (#4036, #4038).
• Improved multimodal input handling and chat-template argument routing (#4037, #4048).
• Corrected loss formulas and argument descriptions in docstrings, clarified custom-module import requirements, and fixed links, typos, and optional type annotations.

For existing multimodal dict inputs, message content now follows each input's key order, which can change embeddings or scores. Video-frame URLs without recognizable image extensions need an explicit frame wrapper to remain one video. See #4037 for details.

All Changes

• [docs] Document that optional imports in a custom module become load-time requirements by @​abtonmoy in huggingface/sentence-transformers#3922
• [docs] Name the metric on the quality axis of the backend benchmark figures by @​tomaarsen in huggingface/sentence-transformers#3977
• docs: fix Constrastive/heaqp typos and subject-verb agreement by @​simpleqt in huggingface/sentence-transformers#3983
• docs: drop stale margin/squared Args from triplet loss docstrings by @​simpleqt in huggingface/sentence-transformers#3981
• docs: fix cross-encoder link and 'show case' wording in examples READMEs by @​simpleqt in huggingface/sentence-transformers#3982
• Correct the inverted CoSENT loss formula in two docstrings by @​vineethsaivs in huggingface/sentence-transformers#3984
• Fix implicit Optional annotations by @​VenishPaneliya in huggingface/sentence-transformers#3990
• [docs] Clarify sparse COO inputs for semantic_search by @​tomaarsen in huggingface/sentence-transformers#4001
• [docs] Refresh inference benchmarks and promote efficiency guides by @​tomaarsen in huggingface/sentence-transformers#4007
• [docs] Describe the MarginMSE target as the signed margin by @​MaxFreedomPollard in huggingface/sentence-transformers#4009
• Document ONNX CPU thread tuning and benchmark settings by @​ErnisBadmae in huggingface/sentence-transformers#3987
• docs: Document shared input formats across model archetypes by @​tomaarsen in huggingface/sentence-transformers#4036
• [docs] Add SPARSEUP to pretrained sparse models by @​tomaarsen in huggingface/sentence-transformers#4038
• Support multiple items per modality in one input by @​tomaarsen in huggingface/sentence-transformers#4037
• Fix load_audio_from_video routing in chat templates by @​tomaarsen in huggingface/sentence-transformers#4048

... (truncated)

Commits

• b0bf399 Release v6.1.0
• 55f2f9c Fix load_audio_from_video routing in chat templates (#4048)
• ad8e77b Support multiple items per modality in one input (#4037)
• ad356eb [docs] Add SPARSEUP to pretrained sparse models (#4038)
• 5f1bfb0 docs: Document shared input formats across model archetypes (#4036)
• b0ef5ef Document ONNX CPU thread tuning and benchmark settings (#3987)
• 6a841ce [docs] Describe the MarginMSE target as the signed margin (#4009)
• dc0d7c3 [docs] Refresh inference benchmarks and promote efficiency guides (#4007)
• 1a4b62a [docs] Clarify sparse COO inputs for semantic_search (#4001)
• 24d718f Fix implicit Optional annotations (#3990)
• Additional commits viewable in compare view

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[poorvith-mp]

LGTM. Dependency bump passes all CI checks.