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, AutoModelForMultimodalLM tokenizer = AutoTokenizer.from_pretrained("jonathanjordan21/donut_fine_tuning_food_composition_id") model = AutoModelForMultimodalLM.from_pretrained("jonathanjordan21/donut_fine_tuning_food_composition_id", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c03c96f23356d9ae64ff69cf509ad07e34d277dbebe3b2aaba5265ed811e86e9
- Size of remote file:
- 806 MB
- SHA256:
- 95f95fe105d82ab4860c98afeefc31ef95abd7981bb40dc86ef46d0a21ae2bbe
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