Document Question Answering
Transformers
PyTorch
English
layoutlmv3
DocVQA
Document Question Answering
Document Visual Question Answering
Instructions to use rubentito/layoutlmv3-base-mpdocvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rubentito/layoutlmv3-base-mpdocvqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="rubentito/layoutlmv3-base-mpdocvqa")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("rubentito/layoutlmv3-base-mpdocvqa") model = AutoModelForDocumentQuestionAnswering.from_pretrained("rubentito/layoutlmv3-base-mpdocvqa") - Notebooks
- Google Colab
- Kaggle
Need Help in fine tuning this model on DUDE dataset (https://huggingface.co/datasets/jordyvl/DUDE_loader)
#6
by kratoss - opened
Hi @rubentito , I want to further fine tune your model on DUDE dataset (https://huggingface.co/datasets/jordyvl/DUDE_loader).
Can you please guide me on how to do that , do you have any references that i can follow.
Your help would be appreciated.