Mitesh Kotak

@doubianimehdi i got the similar results using predict_proba ``` preds = [[0, 1 ]] scores = [ [ [ 0.9984156383957592, 0.001584361604240799 ] ], [ [ 0.4313095716935773, 0.5686904283064227 ] ], ]...

@aaronvg I am trying to deploy using sagemaker pipeline for model deployment did you use huggingface_model.deploy or ModelDeployment ? when i try to deploy the setfit model using "huggingface_model.deploy" in...

I got it resolved. was using the wrong method to deploy (hf.deploy) instead of custom deployment class

@tomaarsen absolutely i will share custom inference script. i will need some more time for sage maker pipeline script to make it perfect

Tagging you both here @philschmid @nickprock, as i think both of might have quick feedback for me. Many thanks in advance :)