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    <description>Real-time AI-analyzed release notes and breaking change alerts for Hugging Face Transformers.</description>
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      <title><![CDATA[Hugging Face Transformers v5.22.1: Hugging Face Transformers: Patch release v5.22.1]]></title>
      <link>https://changelogs.us/transformers/updates/v5.22.1/</link>
      <guid>https://changelogs.us/transformers/updates/v5.22.1/</guid>
      <description><![CDATA[Hugging Face Transformers v5.22.1. Source highlight: Patch release v5.22.1]]></description>
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      <title><![CDATA[Hugging Face Transformers v5.22.0: Hugging Face Transformers: v5.22.0: Mistral Large 4 (Le Chonk)]]></title>
      <link>https://changelogs.us/transformers/updates/v5.22.0/</link>
      <guid>https://changelogs.us/transformers/updates/v5.22.0/</guid>
      <description><![CDATA[Hugging Face Transformers v5.22.0 introduces the Mistral Large 4 1T-parameter model and adds support for FP8 adapter training. The release includes a breaking architectural change regarding Execution Provider (EP) logic separation.]]></description>
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      <title><![CDATA[Hugging Face Transformers v5.21.1: Hugging Face Transformers: Patch release v5.21.1]]></title>
      <link>https://changelogs.us/transformers/updates/v5.21.1/</link>
      <guid>https://changelogs.us/transformers/updates/v5.21.1/</guid>
      <description><![CDATA[Hugging Face Transformers v5.21.1 is a patch release that fixes the rope_scaling setter for configurations that assign it during initialization. This update resolves a critical regression that broke remote code loading in vLLM.]]></description>
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      <title><![CDATA[Hugging Face Transformers v5.21: Hugging Face Transformers: Release: v5.21.0]]></title>
      <link>https://changelogs.us/transformers/updates/v5.21/</link>
      <guid>https://changelogs.us/transformers/updates/v5.21/</guid>
      <description><![CDATA[Hugging Face Transformers v5.21. Source highlight: MiniCPM-OCR is a document-understanding model from OpenBMB's MiniCPM-V family. It keeps the MiniCPM-V 4.6 architecture, which pairs a SigLIP vision encoder and a window-attention merger with a Qwen3.5 language model. It is specialized for reading text-dense images such as scanned pages, screenshots,]]></description>
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      <title><![CDATA[Hugging Face Transformers v5.20.2: Hugging Face Transformers: Patch release v5.20.2]]></title>
      <link>https://changelogs.us/transformers/updates/v5.20.2/</link>
      <guid>https://changelogs.us/transformers/updates/v5.20.2/</guid>
      <description><![CDATA[Hugging Face Transformers v5.20.2. Source highlight: Patch release: v5.20.2]]></description>
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