huggingface / huggingface/setfit
Question: train and deploy via Sagemaker
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Description
Hi
I'm trying to setup training (and hyperparameter tuning) using Amazon SageMaker.
Because SetFit is not a standard model on HugginFace I'm guessing that the examples provided in the HuggingFace/SageMaker integration are not useable: [example](https://github.com/huggingface/notebooks/tree/ef21344eb20fe19f881c846d5e36c8e19d99647c/sagemaker/01_getting_started_pytorch).
What would the best way to tackle hyperparameter tuning (tuning body and head separately) on SageMaker and track the results?
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