Document Question Answering
Transformers
Safetensors
English
layoutlmv3
ocr
document-understanding
paddleocr
multilingual
layout-aware
lakshya-singh
Instructions to use lakshya-rawat/document-qa-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use lakshya-rawat/document-qa-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="lakshya-rawat/document-qa-model")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForDocumentQuestionAnswering processor = AutoProcessor.from_pretrained("lakshya-rawat/document-qa-model") model = AutoModelForDocumentQuestionAnswering.from_pretrained("lakshya-rawat/document-qa-model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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## How to Use
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- Available on my Github
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## How to Use
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- Available on my [`Github`](https://github.com/Lakshyasinghrawat12/DocumentQA-lakshya-rawat-document-qa-model)
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