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Support for slim based models? #22
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Hi @niyazpk Thanks for your interest in SageMaker! Yes, you can use an existing model using the python sdk. You can do it through your model_fn We have an example for that available here using the model fn to create a resnet network. In your case the parameters are already pre trained. Also TF slim is compatible with regular TF so that should not be any issue. |
Hi @niyazpk, I am going to close this ticket. Feel free to open it again if you need additional assistance. Thanks for using SageMaker. |
* Initial checkin of SageMaker HPO Analytics library.
Added: Data Distribution Types Notebook Example
Add HuggingFaceProcessor and fix local mode
Is there any way to use sagemaker for training/testing the (imagenet pretrained) models that come with TF models (these are based on TF slim)? Is there any documentation that you can point me towards for this?
Thanks!
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