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Transformers library v5.20.2 fixes multimodal model issues

By PulseAugur Editorial · [1 sources] ·

The transformers library has released version 5.20.2, introducing a fix for input type preservation within the `prepare_inputs_for_generation` function. This update resolves issues previously affecting multimodal models. Additionally, the release addresses expert gradient problems with bfloat16 and expert parallelism, and improves the declaration of input modalities for vision-language models. AI

IMPACT Improves stability and functionality for multimodal models using the transformers library.

RANK_REASON This is a software library update, not a frontier release or significant industry event.

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Transformers library v5.20.2 fixes multimodal model issues

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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · whatsnew_fyi ·

    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 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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