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Answered
Hi Everyone! I’M Trying To Save My Model’S Weights To Storage. And I Can’T Do It. I’M Tried Upload_Artifact(), Both, With Python Objects Or Path To File. There Are Errors In Uploading And Downloading Files. Usually With File Size. But It’S A Small Resnet1

hi everyone! I’m trying to save my model’s weights to storage. And I can’t do it.
I’m tried upload_artifact(), both, with python objects or path to file. There are errors in uploading and downloading files.
Usually with file size. But it’s a small resnet18 models, ~40mb
I’m trying to upload them like this:

model_test = models.resnet18(weights='IMAGENET1K_V1')
task_name = "test_uploading"
task = Task.init(project_name=f'ai_watches/{task_name}', task_name=f'test_3')
task.upload_artifact('model_fromobject', model_test.state_dict(), wait_on_upload=False)

or

model_path = "models/test_uploading/model_test_nodropout.pt"
model_test = models.resnet18(weights='IMAGENET1K_V1')
torch.save(model_test.state_dict(), model_path)
task.upload_artifact('model_fromofile', model_path, wait_on_upload=False)

Pro subscription, default clean-ml services and files. Storage has a lot of space. I easily upload there datasets or DFs as artifacts, but can’t upload even a small model.
What I’m doing wrong?

  
  
Posted 4 months ago
Votes Newest

Answers


Hi @<1715900760333488128:profile|ScaryShrimp33>

hi everyone! I’m trying to save my model’s weights to storage. And I can’t do it.

See example here: None

or

task.update_output_model(model_path="/path/to/model.pt")
  
  
Posted 4 months ago