loading saved keras model from gs to pydatalab

Question

My keras model is saved in google storage with model.save(model_name)

I cannot load the model on pydatalab. When I save the model on my local machine, I can just ope

Answer 1

OS level command can also be used just in case someone is using Colab

To mound your google drive use

from google.colab import drive
drive.mount('/content/drive', force_remount=True)

Code to mount GCS

from google.colab import auth
auth.authenticate_user()
project_id = 'thirumalai_bucket'  #your bucket here
!gcloud config set project {project_id}
!gsutil ls

!gsutil -m cp

in your case:

!gsutil -m cp gs://mybucket/model.h5  /content/drive/My\ Drive/models/ 

now the file model.h5 available in drive /content/drive/My Drive/models/ move to your models directory using:

!cd /content/drive/My\ Drive/models/

load_model('model.h5')

Hope this helps!