How to load the final model for a second time run? about nebuly HOT 2 CLOSED

Hi jues!!! You raised a good point that is indeed missing in the documentation! You can load the model by running the following commands

from nebullvm.inference_learners.base import LearnerMetadata

path = "path-to-directory-where-the-model-is-saved"
loaded_model = LearnerMetadata.read(path).load_model(path)

For the next release it would be nice to add a load_model function wrapping the code above. I'll work on that 😄.

from nebuly.

Hi jues!!! You raised a good point that is indeed missing in the documentation! You can load the model by running the following commands

from nebullvm.inference_learners.base import LearnerMetadata

path = "path-to-directory-where-the-model-is-saved"
loaded_model = LearnerMetadata.read(path).load_model(path)

For the next release it would be nice to add a load_model function wrapping the code above. I'll work on that 😄.

In the latest version, should run this loaded_model = LearnerMetadata.read(path + '/optimized_model').load_model(path), and I think here is a bug.

from nebuly.