Visual Question Answering
Transformers
PyTorch
Safetensors
Korean
English
pix2struct
image-text-to-text
text2text-generation
Instructions to use nuua/ko-deplot with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nuua/ko-deplot with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="nuua/ko-deplot")# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("nuua/ko-deplot") model = AutoModelForImageTextToText.from_pretrained("nuua/ko-deplot") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 600005d74fe4dec16c66d76f08ed215d6c856fdf3419b6a4aa18d425e93a5f78
- Size of remote file:
- 1.22 GB
- SHA256:
- 937a56afcb5b2a9a3765aeed6019034b2819f54b1de23d1d555f23cd1b4d38c4
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