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:
# pip install -U transformers accelerate # 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
Download tokenizer.json from FoodIntake/flan-t5-large-portion-to-qu-task: direct link, hf CLI and curl.
- Browser
- Download file 2.42 MB
-
https://huggingface.co/FoodIntake/flan-t5-large-portion-to-qu-task/resolve/main/tokenizer.json
- Command line
-
hf download hf://FoodIntake/flan-t5-large-portion-to-qu-task/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/FoodIntake/flan-t5-large-portion-to-qu-task/resolve/main/tokenizer.json
2.42 MB
File too large to display, you can check the raw version instead.