Instructions to use prajwalJumde/LayoutLM_test_docvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use prajwalJumde/LayoutLM_test_docvqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="prajwalJumde/LayoutLM_test_docvqa")# Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("prajwalJumde/LayoutLM_test_docvqa") model = AutoModelForDocumentQuestionAnswering.from_pretrained("prajwalJumde/LayoutLM_test_docvqa") - Notebooks
- Google Colab
- Kaggle
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:92d7d8d5d388ee47e46829f921e9714af60957bc0e2f9763c65f989916d9a239
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size 802058168
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