Transformers
TensorBoard
Safetensors
t5
text2text-generation
Trained with AutoTrain
text-generation-inference
Instructions to use FoodIntake/flan-t5-large-portion-to-qu-task with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use FoodIntake/flan-t5-large-portion-to-qu-task with Transformers:
# Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("FoodIntake/flan-t5-large-portion-to-qu-task") model = AutoModelForSeq2SeqLM.from_pretrained("FoodIntake/flan-t5-large-portion-to-qu-task", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Qualitative food measurements into grams
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Qualitative food measurements into grams
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- Approximate food portion descriptors
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