PrplHrt/LayoutLMv2_hub_500
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Updated
May 9, 2023
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3
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PrplHrt/LayoutLMv2_hub
Document Question Answering
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Updated
May 9, 2023
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6
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Obsolete model.
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layoutlmv2-base-uncased_finetuned_docvqa
This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on the None dataset.
It achieves the following results on the evaluation set:
Loss: 4.8430
Model description
More information…
hf-tiny-model-private/tiny-random-LayoutLMv3ForQuestionAnswering
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Updated
Mar 29, 2023
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70
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hf-tiny-model-private/tiny-random-LayoutLMForQuestionAnswering
Document Question Answering
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Updated
Mar 29, 2023
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5
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Getting started with the model
To run these examples, you must have PIL, pytesseract, and PyTorch installed in addition to transformers.
from transformers import pipeline
nlp = pipeline(
…
LayoutLMv3 base fine-tuned on MP-DocVQA
This is pretrained LayoutLMv3 from Microsoft hub and fine-tuned on Multipage DocVQA (MP-DocVQA) dataset.
This model was used as a baseline in Hierarchical multimodal…