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
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README.md
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@@ -14,7 +14,7 @@ Ko-Deplot is a korean Visual-QA model based on the Google's Pix2Struct architect
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Ko-Deplot์ Google์ Pix2Struct ๊ตฌ์กฐ๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ํ ํ๊ตญ์ด Visual-QA ๋ชจ๋ธ์
๋๋ค. [Deplot](https://huggingface.co/google/deplot) ๋ชจ๋ธ์ ํ๊ตญ์ด ์ฐจํธ ์ด๋ฏธ์ง-ํ
์คํธ ์ ๋ฐ์ดํฐ์
์ ์ด์ฉํ์ฌ ํ์ธํ๋ํ์์ต๋๋ค.
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- **Developed by:** [NUUA](https://www.nuua.ai/en/)
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- **Model type:** Visual Question Answering
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- **License:** apache-2.0
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- **Finetuned from model:** [google/deplot](https://huggingface.co/google/deplot)
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Ko-Deplot์ Google์ Pix2Struct ๊ตฌ์กฐ๋ฅผ ๊ธฐ๋ฐ์ผ๋ก ํ ํ๊ตญ์ด Visual-QA ๋ชจ๋ธ์
๋๋ค. [Deplot](https://huggingface.co/google/deplot) ๋ชจ๋ธ์ ํ๊ตญ์ด ์ฐจํธ ์ด๋ฏธ์ง-ํ
์คํธ ์ ๋ฐ์ดํฐ์
์ ์ด์ฉํ์ฌ ํ์ธํ๋ํ์์ต๋๋ค.
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- **Developed by:** [NUUA](https://www.nuua.ai/en/)
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- **Model type:** Visual Question Answering
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- **License:** apache-2.0
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- **Finetuned from model:** [google/deplot](https://huggingface.co/google/deplot)
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