chore(deps): bump sentence-transformers from 5.2.3 to 5.6.0 in /libs/partners/huggingface (#40959)

Bumps
[sentence-transformers](https://github.com/huggingface/sentence-transformers)
from 5.2.3 to 5.6.0.
<details>
<summary>Release notes</summary>
<p><em>Sourced from <a
href="https://github.com/huggingface/sentence-transformers/releases">sentence-transformers's
releases</a>.</em></p>
<blockquote>
<h2>v5.6.0 - Fixes for Causal LM Rerankers, Hard-Negative Mining, and
More</h2>
<p>This minor version is a correctness- and robustness-focused release.
It fixes a silent scoring bug for causal-LM rerankers, corrects several
hard-negative mining and GIST loss edge cases, restores TSDAE on
<code>transformers</code> v5, and adds Apple Silicon (MPS) support for
the cached losses.</p>
<p>The headline fix affects chat-template models that read the final
token position, i.e. causal-LM rerankers (like
<code>Qwen3-Reranker</code>) and last-token-pooling embedders: when an
over-long input was truncated, the chat template's trailing suffix (e.g.
the assistant prefill the model scores from) was silently dropped,
producing wrong scores with no error. There's also a forward-looking
deprecation: loading local custom code without
<code>trust_remote_code=True</code> now warns, and will require it from
v6.0.</p>
<p>Install this version with</p>
<pre lang="bash"><code># Training + Inference
pip install sentence-transformers[train]==5.6.0
<h1>Inference only, use one of:</h1>
<p>pip install sentence-transformers==5.6.0
pip install sentence-transformers[onnx-gpu]==5.6.0
pip install sentence-transformers[onnx]==5.6.0
pip install sentence-transformers[openvino]==5.6.0</p>
<h1>Multimodal dependencies (optional):</h1>
<p>pip install sentence-transformers[image]==5.6.0
pip install sentence-transformers[audio]==5.6.0
pip install sentence-transformers[video]==5.6.0</p>
<h1>Or combine as needed:</h1>
<p>pip install sentence-transformers[train,onnx,image]==5.6.0
</code></pre></p>
<h2>Fixed silently wrong scores when truncation drops chat-template
suffixes (<a
href="https://redirect.github.com/huggingface/sentence-transformers/issues/3787">#3787</a>)</h2>
<p>Chat-template models render the full conversation to a flat string
before tokenizing, so when the rendered input is longer than the
tokenizer's <code>model_max_length</code>, the tokenizer truncates it
from the right and drops the template's trailing suffix: the fixed
tokens a template appends <em>after</em> the content, e.g. a prompt,
instruction, <code>[/INST]</code>, or a trailing EOS. For models that
read the final token position, this silently corrupted the result:</p>
<ul>
<li>causal-LM rerankers (e.g. <code>Qwen/Qwen3-Reranker-0.6B</code>)
score a pair from the last token's <code>yes</code>/<code>no</code>
logits, and</li>
<li>last-token-pooling embedders read the final hidden state.</li>
</ul>
<p>When the suffix was truncated away, that final position landed
mid-document instead of after the prefill, so the score or embedding
came from the wrong place.</p>
<p><code>Transformer.preprocess</code> now detects when truncation drops
the suffix and splices it back onto the tail of each truncated row.
Because the fix lives in the shared base <code>Transformer</code>, it
applies across <code>SentenceTransformer</code>,
<code>CrossEncoder</code>, and <code>SparseEncoder</code>. It's enabled
by default and saved to the model configuration. Pass
<code>processing_kwargs={&quot;chat_template&quot;:
{&quot;restore_suffix&quot;: False}}</code> to opt back into raw
truncation.</p>
<h2>Hard-negative mining and GIST loss correctness (<a
href="https://redirect.github.com/huggingface/sentence-transformers/issues/3821">#3821</a>,
<a
href="https://redirect.github.com/huggingface/sentence-transformers/issues/3817">#3817</a>,
<a
href="https://redirect.github.com/huggingface/sentence-transformers/issues/3816">#3816</a>)</h2>
<p>A trio of correctness and scalability fixes for hard-negative mining
and the GIST losses:</p>
<ul>
<li>Sign-independent relative margin:
<code>mine_hard_negatives(relative_margin=...)</code> and the
<code>margin_strategy=&quot;relative&quot;</code> branch of
<code>GISTEmbedLoss</code> / <code>CachedGISTEmbedLoss</code> used a
multiplicative threshold (<code>positive * (1 - margin)</code>) that
only behaves correctly when the positive-pair similarity is positive.
When that similarity was negative, the threshold moved the wrong way and
let through false negatives: candidates <em>more</em> similar to the
anchor than the true positive. The threshold is now <code>positive -
|positive| * margin</code>, identical to before for positive scores but
correct for negative ones.</li>
<li>Distributed positive masking in the GIST losses: with
<code>gather_across_devices=True</code> and a non-zero
<code>margin</code>, the false-negative suppression mask protected the
wrong columns on ranks beyond the first (it ignored the per-rank offset
into the gathered batch), which set the true positive's logit to
<code>-inf</code> and produced a <code>+inf</code> loss. The mask now
accounts for the cross-rank offset, so multi-GPU GIST training stays
finite.</li>
<li>Memory-bounded mining without FAISS:
<code>mine_hard_negatives(use_faiss=False)</code> (the default)
materialized the full <code>(queries × corpus)</code> similarity matrix
at once, which could OOM on large corpora. It now batches over the query
axis (controlled by <code>faiss_batch_size</code>, default 16384),
bounding peak memory while producing identical results.</li>
</ul>
<h2>TSDAE weight tying restored on <code>transformers</code> v5 (<a
href="https://redirect.github.com/huggingface/sentence-transformers/issues/3781">#3781</a>)</h2>
<p><code>transformers</code> v5 removed the private
<code>PreTrainedModel._tie_encoder_decoder_weights</code> helper that
<code>DenoisingAutoEncoderLoss</code> (TSDAE) used to tie its separate
encoder and decoder. As a stopgap, v5.5 raised a
<code>RuntimeError</code> for the default
<code>tie_encoder_decoder=True</code> on <code>transformers &gt;=
5.0.0</code>, effectively breaking TSDAE there unless you pinned an
older <code>transformers</code> or disabled tying. TSDAE now ships its
own tying routine that shares storage between encoder and decoder, so it
works on both <code>transformers</code> &lt;5 and &gt;=5 with the
default settings.</p>
<h2>Deprecation: loading local custom code without
<code>trust_remote_code</code> (<a
href="https://redirect.github.com/huggingface/sentence-transformers/issues/3807">#3807</a>)</h2>
<!-- raw HTML omitted -->
</blockquote>
<p>... (truncated)</p>
</details>
<details>
<summary>Commits</summary>
<ul>
<li><a
href="https://github.com/huggingface/sentence-transformers/commit/9c73df3143e97598938a1640d737d3f0f11878e5"><code>9c73df3</code></a>
Release v5.6.0</li>
<li><a
href="https://github.com/huggingface/sentence-transformers/commit/222b0529b93b15f191b6f86b25350be4d226361e"><code>222b052</code></a>
[fix] Don't override device_map placement with the device argument (<a
href="https://redirect.github.com/huggingface/sentence-transformers/issues/3823">#3823</a>)</li>
<li><a
href="https://github.com/huggingface/sentence-transformers/commit/a38a6bf16f50347c100c515fed64e2d8e75bf290"><code>a38a6bf</code></a>
Fix causal LM reranker scoring when max_length truncates chat-template
suffix...</li>
<li><a
href="https://github.com/huggingface/sentence-transformers/commit/18121031ece5ad8f4676127c6693f517c113782a"><code>1812103</code></a>
[fix] Make relative margin sign-independent in mining and GIST losses
(<a
href="https://redirect.github.com/huggingface/sentence-transformers/issues/3821">#3821</a>)</li>
<li><a
href="https://github.com/huggingface/sentence-transformers/commit/ae1acc3fb2aa2004577b297eb4a915ce7a03316a"><code>ae1acc3</code></a>
Warn when loading local custom code without trust_remote_code (<a
href="https://redirect.github.com/huggingface/sentence-transformers/issues/3807">#3807</a>)</li>
<li><a
href="https://github.com/huggingface/sentence-transformers/commit/429cf5d424869c7aba629ded61e93b2788921677"><code>429cf5d</code></a>
[fix] Support MPS in the cached losses' RandContext (<a
href="https://redirect.github.com/huggingface/sentence-transformers/issues/3812">#3812</a>)</li>
<li><a
href="https://github.com/huggingface/sentence-transformers/commit/77fdbfff17c476190f3bb09436e91280fe27b247"><code>77fdbff</code></a>
[<code>fix</code>] fix <code>MPS</code> errors (<a
href="https://redirect.github.com/huggingface/sentence-transformers/issues/3818">#3818</a>)</li>
<li><a
href="https://github.com/huggingface/sentence-transformers/commit/bfba988a1ebc5717b7c52af597e43dba86b4a590"><code>bfba988</code></a>
[fix] Fix positive masking in GIST losses with multi-GPU +
gather_across_devi...</li>
<li><a
href="https://github.com/huggingface/sentence-transformers/commit/29e382b56077f5ade739737d14878357345b4e7e"><code>29e382b</code></a>
[<code>docs</code>] Fix doc build problems (part 1) (<a
href="https://redirect.github.com/huggingface/sentence-transformers/issues/3811">#3811</a>)</li>
<li><a
href="https://github.com/huggingface/sentence-transformers/commit/d16e6bfacf5b00143a93d007fbb711d8095b297b"><code>d16e6bf</code></a>
[fix] Avoid materializing the full similarity matrix in
mine_hard_negatives w...</li>
<li>Additional commits viewable in <a
href="https://github.com/huggingface/sentence-transformers/compare/v5.2.3...v5.6.0">compare
view</a></li>
</ul>
</details>
<br />


[![Dependabot compatibility
score](https://dependabot-badges.githubapp.com/badges/compatibility_score?dependency-name=sentence-transformers&package-manager=uv&previous-version=5.2.3&new-version=5.6.0)](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 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)
You can disable automated security fix PRs for this repo from the
[Security Alerts
page](https://github.com/langchain-ai/langchain/network/alerts).

</details>

Signed-off-by: dependabot[bot] <support@github.com>
Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>

libs/partners/huggingface/uv.lock

@@ -3420,7 +3420,7 @@ wheels = [
 
 [[package]]
 name = "sentence-transformers"
-version = "5.2.3"
+version = "5.6.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "huggingface-hub" },
@@ -3434,9 +3434,9 @@ dependencies = [
     { name = "transformers" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/5b/30/21664028fc0776eb1ca024879480bbbab36f02923a8ff9e4cae5a150fa35/sentence_transformers-5.2.3.tar.gz", hash = "sha256:3cd3044e1f3fe859b6a1b66336aac502eaae5d3dd7d5c8fc237f37fbf58137c7", size = 381623, upload-time = "2026-02-17T14:05:20.238Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/f9/56/d2cb00765a6b15c994a7fccf20f9032f16e8193ca49147cb5155166ad744/sentence_transformers-5.6.0.tar.gz", hash = "sha256:0e7164d051e416c1853ade7c274ff52af3f9da0f4be7f0b83d734c27699e1057", size = 453194, upload-time = "2026-06-16T14:01:56.42Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/46/9f/dba4b3e18ebbe1eaa29d9f1764fbc7da0cd91937b83f2b7928d15c5d2d36/sentence_transformers-5.2.3-py3-none-any.whl", hash = "sha256:6437c62d4112b615ddebda362dfc16a4308d604c5b68125ed586e3e95d5b2e30", size = 494225, upload-time = "2026-02-17T14:05:18.596Z" },
+    { url = "https://files.pythonhosted.org/packages/76/c1/dc1582b79e9a2eb0cddf9559cd9bcdff084f541d6fe881fdd9d98630dba7/sentence_transformers-5.6.0-py3-none-any.whl", hash = "sha256:d2075b5e687a1611005e20ab04a6846994d51adfcf39610aed066af3c0c0b81f", size = 596411, upload-time = "2026-06-16T14:01:55.103Z" },
 ]
 
 [[package]]