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import wandb
from wandb.tensorflow import WandbHook
wandb.init(project="test-wandb", sync_tensorboard=True)
!pip install jovian --upgrade --quiet
import jovian
project_name = "wandb-test"
[jovian] Attempting to save notebook.. [jovian] Detected Kaggle notebook... [jovian] Please enter your API key ( from https://jovian.ml/ ): API KEY: ········ [jovian] Uploading notebook to https://jovian.ml/8dave8/wandb-test
pip install pytorch-lightning
import pytorch_lightning as pl
from pytorch_lightning.loggers import WandbLogger
jovian.commit(project=project_name, environment=None)
[jovian] Attempting to save notebook.. [jovian] Detected Kaggle notebook... [jovian] Uploading notebook to https://jovian.ml/8dave8/wandb-test

Examples

classifier.train(input_fn=train_input_fn, steps=100000, hooks=[WandbHook()])

Save model to wandb

saver = tf.train.Saver()

saver.save(sess, os.path.join(wandb.run.dir, "model.ckpt"))