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[PR #7498] [MERGED] chore(deps): bump sentence-transformers from 3.2.0 to 3.3.1 in /backend #45119

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opened 2026-04-29 19:25:40 -05:00 by GiteaMirror · 0 comments
GiteaMirror commented 2026-04-29 19:25:40 -05:00
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📋 Pull Request Information

Original PR: https://github.com/open-webui/open-webui/pull/7498
Author: @dependabot[bot]
Created: 12/1/2024
Status: ✅ Merged
Merged: 12/1/2024
Merged by: @tjbck

Base: dev ← Head: dependabot/pip/backend/dev/sentence-transformers-3.3.1

📝 Commits (1)

  • d23fac2 chore(deps): bump sentence-transformers from 3.2.0 to 3.3.1 in /backend

📊 Changes

1 file changed (+1 additions, -1 deletions)

View changed files

📝 backend/requirements.txt (+1 -1)

📄 Description

Bumps sentence-transformers from 3.2.0 to 3.3.1.

Release notes

Sourced from sentence-transformers's releases.

v3.3.1 - Patch private model loading without environment variable

This patch release fixes a small issue with loading private models from Hugging Face using the token argument.

Install this version with

# Training + Inference
pip install sentence-transformers[train]==3.3.1

Inference only, use one of:


pip install sentence-transformers==3.3.1
pip install sentence-transformers[onnx-gpu]==3.3.1
pip install sentence-transformers[onnx]==3.3.1
pip install sentence-transformers[openvino]==3.3.1

Details

If you're loading model under this scenario:

  • Your model is hosted on Hugging Face.
  • Your model is private.
  • You haven't set the HF_TOKEN environment variable via huggingface-cli login or some other approach.
  • You're passing the token argument to SentenceTransformer to load the model.

Then you may have encountered a crash in v3.3.0. This should be resolved now.

All Changes

Full Changelog: https://github.com/UKPLab/sentence-transformers/compare/v3.3.0...v3.3.1

v3.2.1 - Patch CLIP loading, small ONNX fix, compatibility with other libraries

This patch release fixes some small bugs, such as related to loading CLIP models, automatic model card generation issues, and ensuring compatibility with third party libraries.

Install this version with

# Training + Inference
pip install sentence-transformers[train]==3.2.1

Inference only, use one of:


pip install sentence-transformers==3.2.1
pip install sentence-transformers[onnx-gpu]==3.2.1
pip install sentence-transformers[onnx]==3.2.1
pip install sentence-transformers[openvino]==3.2.1

Fixing Loading non-Transformer models

In v3.2.0, a non-Transformer based model (e.g. CLIP) would not load correctly if the model was saved in the root of the model repository/directory. This has been resolved in #3007.

Throw error if StaticEmbedding-based model is finetuned with incompatible losses

The following losses are not compatible with StaticEmbedding-based models:

... (truncated)

Commits
  • f6922f0 Merge branch 'master' into v3.3-release, increment to v3.3.1
  • e156f38 [Fix] Resolve loading private Transformer model in version 3.3.0 (#3058)
  • e28f97d [docs] Fix the prompt link to the training script (#3060)
  • c1775a6 Increment the development version
  • ea49e01 Release v3.3.0
  • 6347b75 Moved Model Card Callback init in Trainer to a separate function (#3047)
  • 7ede83b [enh] Add Support for multiple adapters on Transformers-based models (#3046)
  • 6baee57 [fix] Fix model loading inconsistency after Peft training by using PeftModel ...
  • 7be3eac [feat] Trainer with prompts and prompt masking (#2964)
  • 15d3898 [docs] Add some missing docs for include_prompt in Pooling (#3042)
  • Additional commits viewable in compare view

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🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.

## 📋 Pull Request Information **Original PR:** https://github.com/open-webui/open-webui/pull/7498 **Author:** [@dependabot[bot]](https://github.com/apps/dependabot) **Created:** 12/1/2024 **Status:** ✅ Merged **Merged:** 12/1/2024 **Merged by:** [@tjbck](https://github.com/tjbck) **Base:** `dev` ← **Head:** `dependabot/pip/backend/dev/sentence-transformers-3.3.1` --- ### 📝 Commits (1) - [`d23fac2`](https://github.com/open-webui/open-webui/commit/d23fac2a5b9c933ed782914d82632ba9a5ae34c4) chore(deps): bump sentence-transformers from 3.2.0 to 3.3.1 in /backend ### 📊 Changes **1 file changed** (+1 additions, -1 deletions) <details> <summary>View changed files</summary> 📝 `backend/requirements.txt` (+1 -1) </details> ### 📄 Description Bumps [sentence-transformers](https://github.com/UKPLab/sentence-transformers) from 3.2.0 to 3.3.1. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/UKPLab/sentence-transformers/releases">sentence-transformers's releases</a>.</em></p> <blockquote> <h2>v3.3.1 - Patch private model loading without environment variable</h2> <p>This patch release fixes a small issue with loading private models from Hugging Face using the <code>token</code> argument.</p> <p>Install this version with</p> <pre><code># Training + Inference pip install sentence-transformers[train]==3.3.1 <h1>Inference only, use one of:</h1> <p>pip install sentence-transformers==3.3.1 pip install sentence-transformers[onnx-gpu]==3.3.1 pip install sentence-transformers[onnx]==3.3.1 pip install sentence-transformers[openvino]==3.3.1 </code></pre></p> <h2>Details</h2> <p>If you're loading model under this scenario:</p> <ul> <li>Your model is hosted on Hugging Face.</li> <li>Your model is private.</li> <li>You haven't set the <code>HF_TOKEN</code> environment variable via <code>huggingface-cli login</code> or some other approach.</li> <li>You're passing the <code>token</code> argument to <code>SentenceTransformer</code> to load the model.</li> </ul> <p>Then you may have encountered a crash in v3.3.0. This should be resolved now.</p> <h2>All Changes</h2> <ul> <li>[<code>docs</code>] Fix the prompt link to the training script by <a href="https://github.com/tomaarsen"><code>@​tomaarsen</code></a> in <a href="https://redirect.github.com/UKPLab/sentence-transformers/pull/3060">UKPLab/sentence-transformers#3060</a></li> <li>[Fix] Resolve loading private Transformer model in version 3.3.0 by <a href="https://github.com/pesuchin"><code>@​pesuchin</code></a> in <a href="https://redirect.github.com/UKPLab/sentence-transformers/pull/3058">UKPLab/sentence-transformers#3058</a></li> </ul> <p><strong>Full Changelog</strong>: <a href="https://github.com/UKPLab/sentence-transformers/compare/v3.3.0...v3.3.1">https://github.com/UKPLab/sentence-transformers/compare/v3.3.0...v3.3.1</a></p> <h2>v3.2.1 - Patch CLIP loading, small ONNX fix, compatibility with other libraries</h2> <p>This patch release fixes some small bugs, such as related to loading CLIP models, automatic model card generation issues, and ensuring compatibility with third party libraries.</p> <p>Install this version with</p> <pre lang="bash"><code># Training + Inference pip install sentence-transformers[train]==3.2.1 <h1>Inference only, use one of:</h1> <p>pip install sentence-transformers==3.2.1 pip install sentence-transformers[onnx-gpu]==3.2.1 pip install sentence-transformers[onnx]==3.2.1 pip install sentence-transformers[openvino]==3.2.1 </code></pre></p> <h2>Fixing Loading non-Transformer models</h2> <p>In v3.2.0, a non-<a href="https://sbert.net/docs/package_reference/sentence_transformer/models.html#sentence_transformers.models.Transformer">Transformer</a> based model (e.g. CLIP) would not load correctly if the model was saved in the root of the model repository/directory. This has been resolved in <a href="https://redirect.github.com/UKPLab/sentence-transformers/issues/3007">#3007</a>.</p> <h2>Throw error if <code>StaticEmbedding</code>-based model is finetuned with incompatible losses</h2> <p>The following losses are not compatible with <code>StaticEmbedding</code>-based models:</p> <!-- raw HTML omitted --> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/UKPLab/sentence-transformers/commit/f6922f0269426ab93efd9ac6d9c0da5cc207c1cb"><code>f6922f0</code></a> Merge branch 'master' into v3.3-release, increment to v3.3.1</li> <li><a href="https://github.com/UKPLab/sentence-transformers/commit/e156f38b1007e7860218c27223e1d577f3a021fe"><code>e156f38</code></a> [Fix] Resolve loading private Transformer model in version 3.3.0 (<a href="https://redirect.github.com/UKPLab/sentence-transformers/issues/3058">#3058</a>)</li> <li><a href="https://github.com/UKPLab/sentence-transformers/commit/e28f97da71f3ab910ea9cc5c078ce758295c162e"><code>e28f97d</code></a> [<code>docs</code>] Fix the prompt link to the training script (<a href="https://redirect.github.com/UKPLab/sentence-transformers/issues/3060">#3060</a>)</li> <li><a href="https://github.com/UKPLab/sentence-transformers/commit/c1775a67a36123ec8be7f302c6335652e83da213"><code>c1775a6</code></a> Increment the development version</li> <li><a href="https://github.com/UKPLab/sentence-transformers/commit/ea49e01d53f7919b10b6a458553a2546bc44521f"><code>ea49e01</code></a> Release v3.3.0</li> <li><a href="https://github.com/UKPLab/sentence-transformers/commit/6347b75e0c94ab534ad5335f3638ca700fd2d29c"><code>6347b75</code></a> Moved Model Card Callback init in Trainer to a separate function (<a href="https://redirect.github.com/UKPLab/sentence-transformers/issues/3047">#3047</a>)</li> <li><a href="https://github.com/UKPLab/sentence-transformers/commit/7ede83b03a3ff7dea9c4fd854bd09e951a18da9c"><code>7ede83b</code></a> [<code>enh</code>] Add Support for multiple adapters on Transformers-based models (<a href="https://redirect.github.com/UKPLab/sentence-transformers/issues/3046">#3046</a>)</li> <li><a href="https://github.com/UKPLab/sentence-transformers/commit/6baee574be1dc30b18f47c65f9284bacd287f28a"><code>6baee57</code></a> [fix] Fix model loading inconsistency after Peft training by using PeftModel ...</li> <li><a href="https://github.com/UKPLab/sentence-transformers/commit/7be3eacd24f986f702eed40e9c7ef6e8eb224c45"><code>7be3eac</code></a> [<code>feat</code>] Trainer with prompts and prompt masking (<a href="https://redirect.github.com/UKPLab/sentence-transformers/issues/2964">#2964</a>)</li> <li><a href="https://github.com/UKPLab/sentence-transformers/commit/15d3898c213f833354a37772190465a47bb1d444"><code>15d3898</code></a> [<code>docs</code>] Add some missing docs for include_prompt in Pooling (<a href="https://redirect.github.com/UKPLab/sentence-transformers/issues/3042">#3042</a>)</li> <li>Additional commits viewable in <a href="https://github.com/UKPLab/sentence-transformers/compare/v3.2.0...v3.3.1">compare view</a></li> </ul> </details> <br /> [![Dependabot compatibility score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=sentence-transformers&package-manager=pip&previous-version=3.2.0&new-version=3.3.1)](https://docs.github.com/en/github/managing-security-vulnerabilities/about-dependabot-security-updates#about-compatibility-scores) Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting `@dependabot rebase`. [//]: # (dependabot-automerge-start) [//]: # (dependabot-automerge-end) --- <details> <summary>Dependabot commands and options</summary> <br /> You can trigger Dependabot actions by commenting on this PR: - `@dependabot rebase` will rebase this PR - `@dependabot recreate` will recreate this PR, overwriting any edits that have been made to it - `@dependabot merge` will merge this PR after your CI passes on it - `@dependabot squash and merge` will squash and merge this PR after your CI passes on it - `@dependabot cancel merge` will cancel a previously requested merge and block automerging - `@dependabot reopen` will reopen this PR if it is closed - `@dependabot close` will close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually - `@dependabot show <dependency name> ignore conditions` will show all of the ignore conditions of the specified dependency - `@dependabot ignore this major version` will close this PR and stop Dependabot creating any more for this major version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this minor version` will close this PR and stop Dependabot creating any more for this minor version (unless you reopen the PR or upgrade to it yourself) - `@dependabot ignore this dependency` will close this PR and stop Dependabot creating any more for this dependency (unless you reopen the PR or upgrade to it yourself) </details> --- <sub>🔄 This issue represents a GitHub Pull Request. It cannot be merged through Gitea due to API limitations.</sub>
GiteaMirror added the pull-request label 2026-04-29 19:25:40 -05:00
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Reference: github-starred/open-webui#45119
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