Hi, I Have A Question About The Model Registry. Here'S My Situation: I'M Using K8S_Example And Struggling With Uploading A Model. Should Models Be Uploaded To The Fileserver, Or Should I Create Another S3 Bucket As Mentioned In The Documentation?

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Ok, guys, I done it, by manually uploading model.
task = Task.init(project_name='test', task_name='PyTorch MNIST train filserver dataset')
output_model = OutputModel(task=task, framework="PyTorch")
output_model.set_upload_destination(uri=" None ")
tmp_dir = os.path.join(gettempdir(), " mnist_cnn.pt ")
torch.save(model.state_dict(), tmp_dir)
output_model.update_weights(weights_filename=tmp_dir)

  				
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	13 days ago

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					DisturbedLizard6
				
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13 days ago