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A CLI and library for interacting with the Weights and Biases API. Sign up for an account at wandb.ai
cd myproject
# Initialize a directory
wandb init
# Push files to W&B
wandb push bucket model.json weights.h5
# Pull files from canonical models
wandb pull zoo/inception-v4
# Sync training logs and push files when they change
./my_training.py | wandb bucket model.json weights.h5
# Manage configuration
wandb config set epochs=30
import wandb
conf = wandb.Config()
client = wandb.Api()
if conf.turbo:
print("TURBO MODE!!!")
client.push("my_bucket", files=["weights.h5", "model.json"])
Detailed usage can be found in our documentation.
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client is now integrated with AWS S3!
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Browsing data directories saved to Google Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
client is now integrated with Google Cloud Storage!
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Browsing data directories saved to Azure Cloud Storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
client is now integrated with Azure Cloud Storage!
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Browsing data directories saved to S3 compatible storage is possible with DAGsHub. Let's configure your repository to easily display your data in the context of any commit!
client is now integrated with your S3 compatible storage!
Are you sure you want to delete this access key?