Difference in the outcomes of Hugging Face and weights in in ReadMe

microsoft / table-transformer

Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.

MIT License

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Difference in the outcomes of Hugging Face and weights in in ReadMe #126

Open Ashwani-Dangwal opened 1 year ago

Ashwani-Dangwal commented 1 year ago

Why is it that the predictions from the Hugging face and predictions from the weights provided in this repo's ReadMe are a bit different. I am having a hard time trying to understand it. Were there any changes made to the model while importing it to Hugging face?

mllife commented 1 year ago

Yes, both implementations are little different, having the same issue. The newer models on GIT TATR are seems to working better.

NielsRogge commented 11 months ago

Hi,

With #158 you should get one-on-one results