# T5 Model for Recipe generation

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ft5-model-for-recipe-generation%2F14351%3E%5C
**Category:** 🤗Transformers\
**Created:** [February 2, 2022, 9:11pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ft5-model-for-recipe-generation%2F14351 "2022-02-02T21:11:22Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![kokos](https://avatars.discourse-cdn.com/v4/letter/k/3ec8ea/32.png) [@kokos](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fkokos)%5C
**Post date:** [February 2, 2022, 9:11pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Ft5-model-for-recipe-generation%2F14351%2F1 "2022-02-02T21:11:22Z")

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I’d like to use the t5 model to generate recipes, the dataset has a description for every recipe, but I don’t know what should I put as an input for the network since I’d like to just generate a random unique recipe when I put a text like ‘give me a recipe’ as my input!  
I thought of using ‘give me a recipe’ as my input when training for all dataset and output would be the actual recipe, but then how can the model learn the difference and optimize the model!