Model for predicting how much an ingredient weighs if there is no sepcified unit (or the food item itself is the "unit", such as "1 banana"). Has been trained on USDA FoodData Central data. Do numpy.exp1m on the resulting logit to get the predicted weight.
Prompt format:
FOOD: {food}
COMMENTS: {comments}
where food is a food description in the USDA FoodData Central format and comments is either an array of comments in the form of [comment1, comment2] or none.
Citation: U.S. Department of Agriculture, Agricultural Research Service, Beltsville Human Nutrition Research Center. FoodData Central. [Internet]. [cited 2026]. Available from https://fdc.nal.usda.gov/.
- Downloads last month
- 25
Inference Providers NEW
This model isn't deployed by any Inference Provider. 🙋 Ask for provider support
Model tree for Forkulous/tf-forkulous-empty-units
Base model
microsoft/deberta-v3-base