fix: transformers v5 compatibility for AUTOMODEL_CAUSALLM VLMs#3276
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PeterStaar-IBM merged 1 commit intodocling-project:mainfrom Apr 13, 2026
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fix: transformers v5 compatibility for AUTOMODEL_CAUSALLM VLMs#3276PeterStaar-IBM merged 1 commit intodocling-project:mainfrom
PeterStaar-IBM merged 1 commit intodocling-project:mainfrom
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…ng-project#3273) In transformers v5, AutoProcessor.from_pretrained returns a TokenizersBackend directly for pure-tokenizer processors (e.g. Falcon-OCR with AUTOMODEL_CAUSALLM), which has no .tokenizer attribute. Resolve the tokenizer via a helper that falls back to the processor itself so both v4 wrapper processors and v5 TokenizersBackend shapes are supported. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Signed-off-by: Georg Heiler <georg.kf.heiler@gmail.com>
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PeterStaar-IBM
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Apr 13, 2026
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Summary
VlmPipeline+TransformersVlmEnginecrashes on transformers v5 when loading AUTOMODEL_CAUSALLM VLMs (e.g.tiiuae/Falcon-OCR) withAttributeError: TokenizersBackend has no attribute tokenizer.AutoProcessor.from_pretrainedreturns aTokenizersBackenddirectly for pure-tokenizer processors — it exposes_tokenizer, nottokenizer._get_tokenizer()that returnsprocessor.tokenizerwhen present and otherwise falls back to the processor itself, so both v4 wrapper-processors and v5TokenizersBackendshapes work. Guardpadding_side/pad_tokenaccesses withgetattr/hasattr.Test plan
VlmPipelinewithfalcon_ocrpreset initializes and converts a sample PDF on transformers v5🤖 Generated with Claude Code