Instructions to use TusharGoel/LayoutLM-Finetuned-DocVQA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TusharGoel/LayoutLM-Finetuned-DocVQA with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="TusharGoel/LayoutLM-Finetuned-DocVQA")# Load model directly from transformers import AutoTokenizer, AutoModelForDocumentQuestionAnswering tokenizer = AutoTokenizer.from_pretrained("TusharGoel/LayoutLM-Finetuned-DocVQA") model = AutoModelForDocumentQuestionAnswering.from_pretrained("TusharGoel/LayoutLM-Finetuned-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 sha256:1c9d4e81575ce07856d31ca7be5a59e77bebaa95c7ee77e856fc43577dfe43ca
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size 450542848
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