Visual Question Answering
Transformers
Safetensors
Vietnamese
vision-encoder-decoder
image-text-to-text
Instructions to use TeeA/DONUT-ViChart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TeeA/DONUT-ViChart with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="TeeA/DONUT-ViChart")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("TeeA/DONUT-ViChart") model = AutoModelForImageTextToText.from_pretrained("TeeA/DONUT-ViChart") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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- vi
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library_name: transformers
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pipeline_tag: visual-question-answering
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---
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- vi
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library_name: transformers
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pipeline_tag: visual-question-answering
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widget:
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- text: <s_vichart>
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src: ViChart-demo.png
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