Document Question Answering
Transformers
Safetensors
Vietnamese
vision-encoder-decoder
image-text-to-text
Instructions to use YuukiAsuna/VieTable-donut-docvqa-demo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use YuukiAsuna/VieTable-donut-docvqa-demo with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="YuukiAsuna/VieTable-donut-docvqa-demo")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("YuukiAsuna/VieTable-donut-docvqa-demo") model = AutoModelForMultimodalLM.from_pretrained("YuukiAsuna/VieTable-donut-docvqa-demo", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download generation_config.json from YuukiAsuna/VieTable-donut-docvqa-demo: direct link, hf CLI and curl.
- Browser
- Download file 186 Bytes
-
https://huggingface.co/YuukiAsuna/VieTable-donut-docvqa-demo/resolve/edd4e1ef1dbc30ae5b3f172fd8982bf186344e29/generation_config.json
- Command line
-
hf download hf://YuukiAsuna/VieTable-donut-docvqa-demo@edd4e1ef1dbc30ae5b3f172fd8982bf186344e29/generation_config.json
-
curl -L -o generation_config.json https://huggingface.co/YuukiAsuna/VieTable-donut-docvqa-demo/resolve/edd4e1ef1dbc30ae5b3f172fd8982bf186344e29/generation_config.json
186 Bytes
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "eos_token_id": 2, | |
| "forced_eos_token_id": 2, | |
| "max_length": 128, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.47.0.dev0" | |
| } | |