Bump transformers from 4.48.0 to 4.52.1 in /tools/ci_build/requirements/transformers-test #25429
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Bumps [transformers](https://github.com/huggingface/transformers) from 4.48.0 to 4.52.1. - [Release notes](https://github.com/huggingface/transformers/releases) - [Commits](huggingface/transformers@v4.48.0...v4.52.1) --- updated-dependencies: - dependency-name: transformers dependency-version: 4.52.1 dependency-type: direct:production ... Signed-off-by: dependabot[bot] <[email protected]>
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adrianlizarraga
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…ts/transformers-test (#25429) Bumps [transformers](https://github.com/huggingface/transformers) from 4.48.0 to 4.52.1. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/huggingface/transformers/releases">transformers's releases</a>.</em></p> <blockquote> <h2>Patch release v4.51.3</h2> <p>A mix of bugs were fixed in this patch; very exceptionally, we diverge from semantic versioning to merge GLM-4 in this patch release.</p> <ul> <li>Handle torch ver in flexattn (<a href="https://redirect.github.com/huggingface/transformers/issues/37400">#37400</a>)</li> <li>handle torch version edge cases (<a href="https://redirect.github.com/huggingface/transformers/issues/37399">#37399</a>)</li> <li>Add glm4 (<a href="https://redirect.github.com/huggingface/transformers/issues/37388">#37388</a>)</li> </ul> <h1>Patch Release 4.51.2</h1> <p>This is another round of bug fixes, but they are a lot more minor and outputs were not really affected!</p> <ul> <li>Fix Llama4 offset (<a href="https://redirect.github.com/huggingface/transformers/issues/37414">#37414</a>) by <a href="https://github.com/Cyrilvallez"><code>@Cyrilvallez</code></a></li> <li>Attention Quantization with FBGemm & TP (<a href="https://redirect.github.com/huggingface/transformers/issues/37384">#37384</a>) by <a href="https://github.com/MekkCyber"><code>@MekkCyber</code></a></li> <li>use rms_norm_eps for the L2Norm for Llama4 (<a href="https://redirect.github.com/huggingface/transformers/issues/37418">#37418</a>) by <a href="https://github.com/danielhanchen"><code>@danielhanchen</code></a></li> <li>mark llama4 as not supported with fa2 (<a href="https://redirect.github.com/huggingface/transformers/issues/37416">#37416</a>) by <a href="https://github.com/winglian"><code>@winglian</code></a></li> </ul> <h1>Patch release v4.51.1</h1> <p>Since the release of Llama 4, we have fixed a few issues that we are now releasing in patch v4.51.1</p> <ul> <li>Fixing flex attention for torch=2.6.0 (<a href="https://redirect.github.com/huggingface/transformers/issues/37285">#37285</a>)</li> <li>more fixes for post-training llama4 (<a href="https://redirect.github.com/huggingface/transformers/issues/37329">#37329</a>)</li> <li>Remove HQQ from caching allocator warmup (<a href="https://redirect.github.com/huggingface/transformers/issues/37347">#37347</a>)</li> <li>fix derived berts _init_weights (<a href="https://redirect.github.com/huggingface/transformers/issues/37341">#37341</a>)</li> <li>Fix init empty weights without accelerate (<a href="https://redirect.github.com/huggingface/transformers/issues/37337">#37337</a>)</li> <li>Fix deepspeed with quantization (<a href="https://redirect.github.com/huggingface/transformers/issues/37324">#37324</a>)</li> <li>fix llama4 training (<a href="https://redirect.github.com/huggingface/transformers/issues/37319">#37319</a>)</li> <li>fix flex attn when optional args aren't passed (<a href="https://redirect.github.com/huggingface/transformers/issues/37327">#37327</a>)</li> <li>Multiple llama4 fixe (<a href="https://redirect.github.com/huggingface/transformers/issues/37353">#37353</a>)</li> </ul> <p>Thanks all for your patience</p> <h2>v4.51.0: Llama 4, Phi4-Multimodal, DeepSeek-v3, Qwen3</h2> <h2>New Model Additions</h2> <h3>Llama 4</h3> <p><img src="https://github.com/user-attachments/assets/d613b292-94b0-4902-9dc7-2d00693222e4" alt="image" /></p> <p>Llama 4, developed by Meta, introduces a new auto-regressive Mixture-of-Experts (MoE) architecture.This generation includes two models:</p> <ul> <li>The highly capable Llama 4 Maverick with 17B active parameters out of ~400B total, with 128 experts.</li> <li>The efficient Llama 4 Scout also has 17B active parameters out of ~109B total, using just 16 experts.</li> </ul> <p>Both models leverage early fusion for native multimodality, enabling them to process text and image inputs. Maverick and Scout are both trained on up to 40 trillion tokens on data encompassing 200 languages (with specific fine-tuning support for 12 languages including Arabic, Spanish, German, and Hindi).</p> <p>For deployment, Llama 4 Scout is designed for accessibility, fitting on a single server-grade GPU via on-the-fly 4-bit or 8-bit quantization, while Maverick is available in BF16 and FP8 formats. These models are released under the custom Llama 4 Community License Agreement, available on the model repositories</p> <p>Getting started with Llama 4 using transformers is straightforward. Make sure you have transformers v4.51.0 or later installed:</p> <pre><code>pip install -U transformers[hf_xet] </tr></table> </code></pre> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/huggingface/transformers/commit/945727948c1143a10ac6f7d811aa58bb0d126b5b"><code>9457279</code></a> Release: v4.52.1</li> <li><a href="https://github.com/huggingface/transformers/commit/eaa301673a0a7a1a8c5d3f11c046d1592a7ae16b"><code>eaa3016</code></a> Revert parallelism temporarily (<a href="https://redirect.github.com/huggingface/transformers/issues/38240">#38240</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/b5f494632c0fff2527dd3140423408644a9b0076"><code>b5f4946</code></a> Protect ParallelInterface</li> <li><a href="https://github.com/huggingface/transformers/commit/113424bcd53b92600f77d82f48add0a60fb41556"><code>113424b</code></a> Release: v4.52.0</li> <li><a href="https://github.com/huggingface/transformers/commit/f834d368f6a21ed54188d9c96fbb9013b1d2c75f"><code>f834d36</code></a> [gemma3] fix bidirectional attention mask (<a href="https://redirect.github.com/huggingface/transformers/issues/38080">#38080</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/2edb0e4b4dda8172d5628ca7497a4125f28bf6fc"><code>2edb0e4</code></a> [mllama] fix loading and inference (<a href="https://redirect.github.com/huggingface/transformers/issues/38223">#38223</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/390f153469dfdc793e7a9c7eb4822ea76f4f796a"><code>390f153</code></a> Add padding-free to bamba (<a href="https://redirect.github.com/huggingface/transformers/issues/35861">#35861</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/2a79471318a9b7b16706f3bb5cd833c7e81919a6"><code>2a79471</code></a> Fixing Bitnet after use_rms_norm introduction (<a href="https://redirect.github.com/huggingface/transformers/issues/38229">#38229</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/9661896083c9d983341afa45cc4b84af01706e72"><code>9661896</code></a> Enable Quantize KV Cache for Mistral Model (<a href="https://redirect.github.com/huggingface/transformers/issues/35042">#35042</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/1c2f36b480e02c9027d2523746d34e27b39e01a4"><code>1c2f36b</code></a> parallelism goes brrr (<a href="https://redirect.github.com/huggingface/transformers/issues/37877">#37877</a>)</li> <li>Additional commits viewable in <a href="https://github.com/huggingface/transformers/compare/v4.48.0...v4.52.1">compare view</a></li> </ul> </details> <br /> [](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) You can disable automated security fix PRs for this repo from the [Security Alerts page](https://github.com/microsoft/onnxruntime/network/alerts). </details> Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
qti-yuduo
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Aug 8, 2025
…ts/transformers-test (microsoft#25429) Bumps [transformers](https://github.com/huggingface/transformers) from 4.48.0 to 4.52.1. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/huggingface/transformers/releases">transformers's releases</a>.</em></p> <blockquote> <h2>Patch release v4.51.3</h2> <p>A mix of bugs were fixed in this patch; very exceptionally, we diverge from semantic versioning to merge GLM-4 in this patch release.</p> <ul> <li>Handle torch ver in flexattn (<a href="https://redirect.github.com/huggingface/transformers/issues/37400">#37400</a>)</li> <li>handle torch version edge cases (<a href="https://redirect.github.com/huggingface/transformers/issues/37399">#37399</a>)</li> <li>Add glm4 (<a href="https://redirect.github.com/huggingface/transformers/issues/37388">#37388</a>)</li> </ul> <h1>Patch Release 4.51.2</h1> <p>This is another round of bug fixes, but they are a lot more minor and outputs were not really affected!</p> <ul> <li>Fix Llama4 offset (<a href="https://redirect.github.com/huggingface/transformers/issues/37414">#37414</a>) by <a href="https://github.com/Cyrilvallez"><code>@Cyrilvallez</code></a></li> <li>Attention Quantization with FBGemm & TP (<a href="https://redirect.github.com/huggingface/transformers/issues/37384">#37384</a>) by <a href="https://github.com/MekkCyber"><code>@MekkCyber</code></a></li> <li>use rms_norm_eps for the L2Norm for Llama4 (<a href="https://redirect.github.com/huggingface/transformers/issues/37418">#37418</a>) by <a href="https://github.com/danielhanchen"><code>@danielhanchen</code></a></li> <li>mark llama4 as not supported with fa2 (<a href="https://redirect.github.com/huggingface/transformers/issues/37416">#37416</a>) by <a href="https://github.com/winglian"><code>@winglian</code></a></li> </ul> <h1>Patch release v4.51.1</h1> <p>Since the release of Llama 4, we have fixed a few issues that we are now releasing in patch v4.51.1</p> <ul> <li>Fixing flex attention for torch=2.6.0 (<a href="https://redirect.github.com/huggingface/transformers/issues/37285">#37285</a>)</li> <li>more fixes for post-training llama4 (<a href="https://redirect.github.com/huggingface/transformers/issues/37329">#37329</a>)</li> <li>Remove HQQ from caching allocator warmup (<a href="https://redirect.github.com/huggingface/transformers/issues/37347">#37347</a>)</li> <li>fix derived berts _init_weights (<a href="https://redirect.github.com/huggingface/transformers/issues/37341">#37341</a>)</li> <li>Fix init empty weights without accelerate (<a href="https://redirect.github.com/huggingface/transformers/issues/37337">#37337</a>)</li> <li>Fix deepspeed with quantization (<a href="https://redirect.github.com/huggingface/transformers/issues/37324">#37324</a>)</li> <li>fix llama4 training (<a href="https://redirect.github.com/huggingface/transformers/issues/37319">#37319</a>)</li> <li>fix flex attn when optional args aren't passed (<a href="https://redirect.github.com/huggingface/transformers/issues/37327">#37327</a>)</li> <li>Multiple llama4 fixe (<a href="https://redirect.github.com/huggingface/transformers/issues/37353">#37353</a>)</li> </ul> <p>Thanks all for your patience</p> <h2>v4.51.0: Llama 4, Phi4-Multimodal, DeepSeek-v3, Qwen3</h2> <h2>New Model Additions</h2> <h3>Llama 4</h3> <p><img src="https://github.com/user-attachments/assets/d613b292-94b0-4902-9dc7-2d00693222e4" alt="image" /></p> <p>Llama 4, developed by Meta, introduces a new auto-regressive Mixture-of-Experts (MoE) architecture.This generation includes two models:</p> <ul> <li>The highly capable Llama 4 Maverick with 17B active parameters out of ~400B total, with 128 experts.</li> <li>The efficient Llama 4 Scout also has 17B active parameters out of ~109B total, using just 16 experts.</li> </ul> <p>Both models leverage early fusion for native multimodality, enabling them to process text and image inputs. Maverick and Scout are both trained on up to 40 trillion tokens on data encompassing 200 languages (with specific fine-tuning support for 12 languages including Arabic, Spanish, German, and Hindi).</p> <p>For deployment, Llama 4 Scout is designed for accessibility, fitting on a single server-grade GPU via on-the-fly 4-bit or 8-bit quantization, while Maverick is available in BF16 and FP8 formats. These models are released under the custom Llama 4 Community License Agreement, available on the model repositories</p> <p>Getting started with Llama 4 using transformers is straightforward. Make sure you have transformers v4.51.0 or later installed:</p> <pre><code>pip install -U transformers[hf_xet] </tr></table> </code></pre> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/huggingface/transformers/commit/945727948c1143a10ac6f7d811aa58bb0d126b5b"><code>9457279</code></a> Release: v4.52.1</li> <li><a href="https://github.com/huggingface/transformers/commit/eaa301673a0a7a1a8c5d3f11c046d1592a7ae16b"><code>eaa3016</code></a> Revert parallelism temporarily (<a href="https://redirect.github.com/huggingface/transformers/issues/38240">#38240</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/b5f494632c0fff2527dd3140423408644a9b0076"><code>b5f4946</code></a> Protect ParallelInterface</li> <li><a href="https://github.com/huggingface/transformers/commit/113424bcd53b92600f77d82f48add0a60fb41556"><code>113424b</code></a> Release: v4.52.0</li> <li><a href="https://github.com/huggingface/transformers/commit/f834d368f6a21ed54188d9c96fbb9013b1d2c75f"><code>f834d36</code></a> [gemma3] fix bidirectional attention mask (<a href="https://redirect.github.com/huggingface/transformers/issues/38080">#38080</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/2edb0e4b4dda8172d5628ca7497a4125f28bf6fc"><code>2edb0e4</code></a> [mllama] fix loading and inference (<a href="https://redirect.github.com/huggingface/transformers/issues/38223">#38223</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/390f153469dfdc793e7a9c7eb4822ea76f4f796a"><code>390f153</code></a> Add padding-free to bamba (<a href="https://redirect.github.com/huggingface/transformers/issues/35861">#35861</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/2a79471318a9b7b16706f3bb5cd833c7e81919a6"><code>2a79471</code></a> Fixing Bitnet after use_rms_norm introduction (<a href="https://redirect.github.com/huggingface/transformers/issues/38229">#38229</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/9661896083c9d983341afa45cc4b84af01706e72"><code>9661896</code></a> Enable Quantize KV Cache for Mistral Model (<a href="https://redirect.github.com/huggingface/transformers/issues/35042">#35042</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/1c2f36b480e02c9027d2523746d34e27b39e01a4"><code>1c2f36b</code></a> parallelism goes brrr (<a href="https://redirect.github.com/huggingface/transformers/issues/37877">#37877</a>)</li> <li>Additional commits viewable in <a href="https://github.com/huggingface/transformers/compare/v4.48.0...v4.52.1">compare view</a></li> </ul> </details> <br /> [](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) You can disable automated security fix PRs for this repo from the [Security Alerts page](https://github.com/microsoft/onnxruntime/network/alerts). </details> Signed-off-by: dependabot[bot] <[email protected]> Co-authored-by: dependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>
sanketkaleoss
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Aug 11, 2025
…ts/transformers-test (microsoft#25429) Bumps [transformers](https://github.com/huggingface/transformers) from 4.48.0 to 4.52.1. <details> <summary>Release notes</summary> <p><em>Sourced from <a href="https://github.com/huggingface/transformers/releases">transformers's releases</a>.</em></p> <blockquote> <h2>Patch release v4.51.3</h2> <p>A mix of bugs were fixed in this patch; very exceptionally, we diverge from semantic versioning to merge GLM-4 in this patch release.</p> <ul> <li>Handle torch ver in flexattn (<a href="https://redirect.github.com/huggingface/transformers/issues/37400">#37400</a>)</li> <li>handle torch version edge cases (<a href="https://redirect.github.com/huggingface/transformers/issues/37399">#37399</a>)</li> <li>Add glm4 (<a href="https://redirect.github.com/huggingface/transformers/issues/37388">#37388</a>)</li> </ul> <h1>Patch Release 4.51.2</h1> <p>This is another round of bug fixes, but they are a lot more minor and outputs were not really affected!</p> <ul> <li>Fix Llama4 offset (<a href="https://redirect.github.com/huggingface/transformers/issues/37414">#37414</a>) by <a href="https://github.com/Cyrilvallez"><code>@Cyrilvallez</code></a></li> <li>Attention Quantization with FBGemm & TP (<a href="https://redirect.github.com/huggingface/transformers/issues/37384">#37384</a>) by <a href="https://github.com/MekkCyber"><code>@MekkCyber</code></a></li> <li>use rms_norm_eps for the L2Norm for Llama4 (<a href="https://redirect.github.com/huggingface/transformers/issues/37418">#37418</a>) by <a href="https://github.com/danielhanchen"><code>@danielhanchen</code></a></li> <li>mark llama4 as not supported with fa2 (<a href="https://redirect.github.com/huggingface/transformers/issues/37416">#37416</a>) by <a href="https://github.com/winglian"><code>@winglian</code></a></li> </ul> <h1>Patch release v4.51.1</h1> <p>Since the release of Llama 4, we have fixed a few issues that we are now releasing in patch v4.51.1</p> <ul> <li>Fixing flex attention for torch=2.6.0 (<a href="https://redirect.github.com/huggingface/transformers/issues/37285">#37285</a>)</li> <li>more fixes for post-training llama4 (<a href="https://redirect.github.com/huggingface/transformers/issues/37329">#37329</a>)</li> <li>Remove HQQ from caching allocator warmup (<a href="https://redirect.github.com/huggingface/transformers/issues/37347">#37347</a>)</li> <li>fix derived berts _init_weights (<a href="https://redirect.github.com/huggingface/transformers/issues/37341">#37341</a>)</li> <li>Fix init empty weights without accelerate (<a href="https://redirect.github.com/huggingface/transformers/issues/37337">#37337</a>)</li> <li>Fix deepspeed with quantization (<a href="https://redirect.github.com/huggingface/transformers/issues/37324">#37324</a>)</li> <li>fix llama4 training (<a href="https://redirect.github.com/huggingface/transformers/issues/37319">#37319</a>)</li> <li>fix flex attn when optional args aren't passed (<a href="https://redirect.github.com/huggingface/transformers/issues/37327">#37327</a>)</li> <li>Multiple llama4 fixe (<a href="https://redirect.github.com/huggingface/transformers/issues/37353">#37353</a>)</li> </ul> <p>Thanks all for your patience</p> <h2>v4.51.0: Llama 4, Phi4-Multimodal, DeepSeek-v3, Qwen3</h2> <h2>New Model Additions</h2> <h3>Llama 4</h3> <p><img src="https://github.com/user-attachments/assets/d613b292-94b0-4902-9dc7-2d00693222e4" alt="image" /></p> <p>Llama 4, developed by Meta, introduces a new auto-regressive Mixture-of-Experts (MoE) architecture.This generation includes two models:</p> <ul> <li>The highly capable Llama 4 Maverick with 17B active parameters out of ~400B total, with 128 experts.</li> <li>The efficient Llama 4 Scout also has 17B active parameters out of ~109B total, using just 16 experts.</li> </ul> <p>Both models leverage early fusion for native multimodality, enabling them to process text and image inputs. Maverick and Scout are both trained on up to 40 trillion tokens on data encompassing 200 languages (with specific fine-tuning support for 12 languages including Arabic, Spanish, German, and Hindi).</p> <p>For deployment, Llama 4 Scout is designed for accessibility, fitting on a single server-grade GPU via on-the-fly 4-bit or 8-bit quantization, while Maverick is available in BF16 and FP8 formats. These models are released under the custom Llama 4 Community License Agreement, available on the model repositories</p> <p>Getting started with Llama 4 using transformers is straightforward. Make sure you have transformers v4.51.0 or later installed:</p> <pre><code>pip install -U transformers[hf_xet] </tr></table> </code></pre> </blockquote> <p>... (truncated)</p> </details> <details> <summary>Commits</summary> <ul> <li><a href="https://github.com/huggingface/transformers/commit/945727948c1143a10ac6f7d811aa58bb0d126b5b"><code>9457279</code></a> Release: v4.52.1</li> <li><a href="https://github.com/huggingface/transformers/commit/eaa301673a0a7a1a8c5d3f11c046d1592a7ae16b"><code>eaa3016</code></a> Revert parallelism temporarily (<a href="https://redirect.github.com/huggingface/transformers/issues/38240">#38240</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/b5f494632c0fff2527dd3140423408644a9b0076"><code>b5f4946</code></a> Protect ParallelInterface</li> <li><a href="https://github.com/huggingface/transformers/commit/113424bcd53b92600f77d82f48add0a60fb41556"><code>113424b</code></a> Release: v4.52.0</li> <li><a href="https://github.com/huggingface/transformers/commit/f834d368f6a21ed54188d9c96fbb9013b1d2c75f"><code>f834d36</code></a> [gemma3] fix bidirectional attention mask (<a href="https://redirect.github.com/huggingface/transformers/issues/38080">#38080</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/2edb0e4b4dda8172d5628ca7497a4125f28bf6fc"><code>2edb0e4</code></a> [mllama] fix loading and inference (<a href="https://redirect.github.com/huggingface/transformers/issues/38223">#38223</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/390f153469dfdc793e7a9c7eb4822ea76f4f796a"><code>390f153</code></a> Add padding-free to bamba (<a href="https://redirect.github.com/huggingface/transformers/issues/35861">#35861</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/2a79471318a9b7b16706f3bb5cd833c7e81919a6"><code>2a79471</code></a> Fixing Bitnet after use_rms_norm introduction (<a href="https://redirect.github.com/huggingface/transformers/issues/38229">#38229</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/9661896083c9d983341afa45cc4b84af01706e72"><code>9661896</code></a> Enable Quantize KV Cache for Mistral Model (<a href="https://redirect.github.com/huggingface/transformers/issues/35042">#35042</a>)</li> <li><a href="https://github.com/huggingface/transformers/commit/1c2f36b480e02c9027d2523746d34e27b39e01a4"><code>1c2f36b</code></a> parallelism goes brrr (<a href="https://redirect.github.com/huggingface/transformers/issues/37877">#37877</a>)</li> <li>Additional commits viewable in <a href="https://github.com/huggingface/transformers/compare/v4.48.0...v4.52.1">compare view</a></li> </ul> </details> <br /> [](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. 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Bumps transformers from 4.48.0 to 4.52.1.
Release notes
Sourced from transformers's releases.
... (truncated)
Commits
9457279Release: v4.52.1eaa3016Revert parallelism temporarily (#38240)b5f4946Protect ParallelInterface113424bRelease: v4.52.0f834d36[gemma3] fix bidirectional attention mask (#38080)2edb0e4[mllama] fix loading and inference (#38223)390f153Add padding-free to bamba (#35861)2a79471Fixing Bitnet after use_rms_norm introduction (#38229)9661896Enable Quantize KV Cache for Mistral Model (#35042)1c2f36bparallelism goes brrr (#37877)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 commands and options
You can trigger Dependabot actions by commenting on this PR:
@dependabot rebasewill rebase this PR@dependabot recreatewill recreate this PR, overwriting any edits that have been made to it@dependabot mergewill merge this PR after your CI passes on it@dependabot squash and mergewill squash and merge this PR after your CI passes on it@dependabot cancel mergewill cancel a previously requested merge and block automerging@dependabot reopenwill reopen this PR if it is closed@dependabot closewill close this PR and stop Dependabot recreating it. You can achieve the same result by closing it manually@dependabot show <dependency name> ignore conditionswill show all of the ignore conditions of the specified dependency@dependabot ignore this major versionwill 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 versionwill 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 dependencywill 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.