English(EN) transformers v5.20.2 Inputs in generate no longer lose their original type inside prepare_inputs_for_generation, which resolves problems with multimodal models;

Transformers 库 v5.20.2 修复了多模态模型问题

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-19 21:02

transformers 库已发布 5.20.2 版本，在 `prepare_inputs_for_generation` 函数中修复了输入类型保留问题。此更新解决了之前影响多模态模型的问题。此外，该版本还解决了 bfloat16 和专家并行处理的专家梯度问题，并改进了视觉-语言模型的输入模态声明。 AI

影响提高了使用 transformers 库的多模态模型的稳定性和功能。

排序理由这是一个软件库更新，不是前沿发布或重要的行业事件。

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Signal score: 12 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 这是一个软件库更新，不是前沿发布或重要的行业事件。
Source corroboration: Single-source cluster; Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
Topics: product; Editorial topic classification. Feeds into how the story surfaces on /topic/<slug> hub pages and into the per-entity coverage mix.
AI-industry relevance: High; Clearly on-topic for AI-industry coverage.
Story freshness: Breaking (< 6h); Fresh story with cross-source coverage still developing. Ranking may shift as more sources report.

完整方法见我们的编辑标准。

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Mastodon — mastodon.social TIER_1 English(EN) · whatsnew_fyi · 2026-10-19 21:02

transformers v5.20.2 的 generate 输入在 prepare_inputs_for_generation 中不再丢失原始类型，解决了多模态模型的问题；

transformers v5.20.2 Inputs in generate no longer lose their original type inside prepare_inputs_for_generation, which resolves problems with multimodal models; Zero expert gradients in bfloat16 with expert parallelism and ep_size less than fsdp_size; Declare the input modalities…

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报道来源 [1]

transformers v5.20.2 的 generate 输入在 prepare_inputs_for_generation 中不再丢失原始类型，解决了多模态模型的问题；

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