Hugging Face: Few Shot learning with Inference API

[srsawant34]

Problem Description
This notebook demonstrates how to utilize the inference endpoints of hugging face models. Additionally, it demonstrates how to use few shot learning for a specific task in a model. Few-shot learning is a machine learning paradigm where a model is trained to make accurate predictions with very limited examples or data points.

[jravenel]

@srsawant34 good idea! We need to have so much more Hugging Face templates

[srsawant34]

Pls assign it to me @FlorentLvr @srini047, I am new here.

[srsawant34]

@srsawant34 good idea! We need to have so much more Hugging Face templates

Agreed! I would like to see more hugging face templates. I will try to add more hugging face templates. @jravenel

[FlorentLvr]

Hello @srsawant34, I am glad you want to contribute on our repository!
I see you already sign up for our contributor program so you should received an email to join our team on GitHub. 🚀
You can now go to step2 for the technical and then start working on your template: https://github.com/jupyter-naas/awesome-notebooks#step-2-technical-setup
Then, I will be happy to assign you to this issue!
Let me know if you have any questions! 🙏
Cheers!