# Online learning in a 🤗 Space

**URL:** </static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fonline-learning-in-a-space%2F12375%3E%5C
**Category:** Intermediate\
**Created:** [November 29, 2021, 10:50pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fonline-learning-in-a-space%2F12375 "2021-11-29T22:50:11Z")\
**Posts on this page:** 3\
**Page:** 1

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**Author:** ![nouamanetazi](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/nouamanetazi/32/4869_2.png) [@nouamanetazi](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fnouamanetazi)%5C
**Post date:** [November 29, 2021, 10:50pm UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fonline-learning-in-a-space%2F12375%2F1 "2021-11-29T22:50:11Z")

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Hello! Is there a way to enable online learning on a model deployed on a Huggingface space (or the Model Hub). Like the flag option in gradio apps to flag some examples, is there an option for the user to correct the output predicted? Thanks.

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**Author:** ![julien-c](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/julien-c/32/41937_2.png) [@julien-c](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fjulien-c)%5C
**Post date:** [December 1, 2021, 9:09am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fonline-learning-in-a-space%2F12375%2F2 "2021-12-01T09:09:29Z")

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Thats a super cool idea. The machinery to build this exists, but you would need to actually hook the building blocks together.

We’ll work on a tutorial to streamline this at some point

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**Author:** ![nouamanetazi](https://sea2.discourse-cdn.com/hellohellohello/user_avatar/discuss.huggingface.co/nouamanetazi/32/4869_2.png) [@nouamanetazi](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Fu%2Fnouamanetazi)%5C
**Post date:** [December 1, 2021, 9:14am UTC](/static-proxy?url=https%3A%2F%2Fdiscuss.huggingface.co%2Ft%2Fonline-learning-in-a-space%2F12375%2F3 "2021-12-01T09:14:04Z")

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Okay, I’d love to contribute with this project 💪
