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Updates the requirements on sentence-transformers and huggingface-hub to permit the latest version.
Updates sentence-transformers 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

Updates huggingface-hub to 2.0.0

Release notes

Sourced from huggingface-hub's releases.

[v2.0.0] The httpx2 release

See MIGRATION GUIDE in docs.

💔 Breaking Change: HTTP stack moves to httpx2

See migration plan in huggingface/huggingface_hub#4802 .

huggingface_hub v2.0 replaces its HTTP dependency with httpx2: clients and transport exceptions now come from httpx2/httpcore2 instead of httpx/httpcore. Custom client factories (via set_client_factory / set_async_client_factory) and any except clauses catching transport errors must use httpx2 types. For code that must support both v1.x (starting with v1.30.0) and v2.x, import the HTTP module from huggingface_hub.utils:

from huggingface_hub.utils import get_session, httpx
try:
response = get_session().get("https://huggingface.co/api/models/gpt2")
response.raise_for_status()
except httpx.HTTPError:
...

Note that httpx2 uses the operating system's certificate trust store by default (custom CA bundles via SSL_CERT_FILE / SSL_CERT_DIR still work), logging configuration should target the httpx2 and httpcore2 loggers, and the oauth extra now requires authlib>=1.8.0.

• [Release] Prepare huggingface_hub 2.0 by @​Wauplin in #4994
• huggingface/huggingface_hub#4921

💔 Breaking Change: deprecated APIs are removed

This release also removes all APIs deprecated in 1.x:

• upload_large_folder / HfApi.upload_large_folder → use upload_folder
• duplicate_space → use duplicate_repo
• request_space_storage / delete_space_storage → use the volume APIs (set_space_volumes, delete_space_volumes)
• repo_type_and_id_from_hf_id → use parse_hf_uri
• InferenceEndpointType.PROTECTED → use AUTHENTICATED (create_inference_endpoint(type="protected") now raises ValueError)
• list_models(model_name=...) → use list_models(search=...)
• create_repo / duplicate_repo(space_storage=...) → use space_volumes
• text_generation(stop_sequences=...) → use stop
• Boolean InferenceClient(token=...) → pass a token string or None

On the CLI side, the following entry points and options are gone: huggingface-cli (use hf), hf repo and hf repo-files delete (use hf repos and hf repos delete-files), hf upload-large-folder (use hf upload), hf repos create/duplicate --storage (use --volume), hf jobs ps and hf jobs scheduled ps -f/--filter (use --status/--label), and hf skills add/update --claude (Claude Code installation is now automatic).

A migration guide covering all of this is available at https://github.com/huggingface/huggingface_hub/blob/main/docs/source/en/concepts/migration_v2.md.

• [Release] Prepare huggingface_hub 2.0 by @​Wauplin in #4994
• huggingface/huggingface_hub#4955
• huggingface/huggingface_hub#4971
• huggingface/huggingface_hub#4985

🏗️ Internal

• [CI] Support major (pre-)releases in release workflow by @​Wauplin in #4991

... (truncated)

Commits

• 97c5f5f Release: v2.0.0
• e2d609e Release: v2.0.0.rc0
• 89ae51f unbump
• 9f51867 [Release] Prepare huggingface_hub 2.0 (#4994)
• c2e6e0a Post-release: bump version to 1.34.0.dev0 (#4993)
• fa26f34 [CI] Support major (pre-)releases in release workflow (#4991)
• ac3ed2f [Xet] Show Validating progress during shard finalization (#4478)
• b904b94 Apply the repo_id length limit to the namespace as well (#4988)
• 1e0c305 Send PrivateLink config under privateService in create_inference_endpoint (#4...
• da5e244 Scope GITHUB_TOKEN permissions per job (#4982)
• Additional commits viewable in compare view

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