Comments (6)
@zucchini-nlp I was able to solve the issue by setting "use_cache" to true in the generation_config.json. I'm not sure if this is the best solution for the model, but it works for now. Thanks! Please let me know if there is another way to fix it so I can share the model.
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Perhaps #31377 would fix this?
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Hello,
I am experiencing the same error. I recently upgraded the version of transformers as suggested in #31377. It works correctly when using the idefics-2 model from Hugging Face, but I still encounter the same error when using a fully fine-tuned model of my own. Do you have any suggestions on how to fix this?
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@mdmev hey! If the error is only in custom-tuned model, it might be related to model's config/generation_config. Can you pls share the model you're using so that I can try to reproduce it?
from transformers.
@mdmev Oke, thanks! But actually Idefics2 should be able to generate without caching, so let me know which model and script you're using. I'll investigate it a bit
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This issue has been automatically marked as stale because it has not had recent activity. If you think this still needs to be addressed please comment on this thread.
Please note that issues that do not follow the contributing guidelines are likely to be ignored.
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