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, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("nuua/ko-deplot") model = AutoModelForMultimodalLM.from_pretrained("nuua/ko-deplot", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ea03ed62da3795d0e04789198c360151843f01d495e519ffb014d443a9a8e8ad
- Size of remote file:
- 131 Bytes
- SHA256:
- d3a8eb40b3386d4dbb66e95c41d45c89a0a60baf6a3adec8407adea565b82d8b
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