Document Question Answering
Transformers
PyTorch
Safetensors
Indonesian
English
vision-encoder-decoder
image-text-to-text
Instructions to use jonathanjordan21/donut_fine_tuning_food_composition_id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use jonathanjordan21/donut_fine_tuning_food_composition_id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("document-question-answering", model="jonathanjordan21/donut_fine_tuning_food_composition_id")# Load model directly from transformers import AutoTokenizer, AutoModelForImageTextToText tokenizer = AutoTokenizer.from_pretrained("jonathanjordan21/donut_fine_tuning_food_composition_id") model = AutoModelForImageTextToText.from_pretrained("jonathanjordan21/donut_fine_tuning_food_composition_id") - Notebooks
- Google Colab
- Kaggle
| { | |
| "_from_model_config": true, | |
| "bos_token_id": 0, | |
| "decoder_start_token_id": 57534, | |
| "eos_token_id": 2, | |
| "forced_eos_token_id": 2, | |
| "pad_token_id": 1, | |
| "transformers_version": "4.33.0" | |
| } | |