Document Question Answering
Transformers
Safetensors
Vietnamese
internvl_chat
feature-extraction
custom_code
Instructions to use YuukiAsuna/Vintern-1B-v2-ViTable-docvqa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YuukiAsuna/Vintern-1B-v2-ViTable-docvqa with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="YuukiAsuna/Vintern-1B-v2-ViTable-docvqa", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("YuukiAsuna/Vintern-1B-v2-ViTable-docvqa", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update usage
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README.md
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## Usage
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Check out this [**🤗 HF Demo**](https://huggingface.co/spaces/YuukiAsuna/Vintern-1B-v2-ViTable-docvqa), or you can open it in Colab:
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[](https://colab.research.google.com/drive/1ricMh4BxntoiXIT2CnQvAZjrGZTtx4gj?usp=sharing)
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