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Comments (6)

R4ZZ3 avatar R4ZZ3 commented on August 12, 2024

Is it ok to use roberta-large models also?

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jpWang avatar jpWang commented on August 12, 2024

Hi,
due to the limitation of computing resources, we haven't trained the large LiLT model yet. It is considered for future work.

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logan-markewich avatar logan-markewich commented on August 12, 2024

+1 for training LiLT-Large ๐Ÿ‘๐Ÿป

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AnQueth avatar AnQueth commented on August 12, 2024

will this ever be done? I am trying to use LILT but we have some forms that go over the 512 limit and we can't just truncate as the data could be anywhere in the tokens.

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logan-markewich avatar logan-markewich commented on August 12, 2024

@AnQuethit it seems this project is mostly dead in terms of development.

My solution for that was to just tokenize longer documents in chunks with some overlap

The doc_stride parameter in huggingface tokenizer is very useful for this

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AnQueth avatar AnQueth commented on August 12, 2024

i ran across the stride parameter 30 minutes ago but i haven't figured out how to get around the error it causes. do you have working code with it save me some time lol ?

Couldn't cast array of type
list<item: int64>
to
int64

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