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It is nice that there are so many pre-training and fine-tuning examples in this project. It would be great to add examples of how to deploy these models and use them for offline/batch job and online/service inference.
How would this feature be used?
Once I pre-train or fine-tune a model, I would like to serve it on SageMaker HyperPod, and use it either by submitting curl requests, or through a simple grad.io or other UI.
The text was updated successfully, but these errors were encountered:
Describe the feature you'd like
It is nice that there are so many pre-training and fine-tuning examples in this project. It would be great to add examples of how to deploy these models and use them for offline/batch job and online/service inference.
How would this feature be used?
Once I pre-train or fine-tune a model, I would like to serve it on SageMaker HyperPod, and use it either by submitting curl requests, or through a simple grad.io or other UI.
The text was updated successfully, but these errors were encountered: