Visual Question Answering
Transformers
Safetensors
Vietnamese
vision-encoder-decoder
image-text-to-text
Instructions to use TeeA/DONUT-ViChart with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TeeA/DONUT-ViChart with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("visual-question-answering", model="TeeA/DONUT-ViChart")# Load model directly from transformers import AutoTokenizer, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("TeeA/DONUT-ViChart") model = AutoModelForMultimodalLM.from_pretrained("TeeA/DONUT-ViChart", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "eos_token_id": 2, | |
| "forced_eos_token_id": 2, | |
| "max_length": 512, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.40.1" | |
| } | |