bayes gear run

bayes gear run [task or workspace or hypertuning] [options]

-d, --data strings      Bind data
-e, --env string        Select image
-f, --follow            [Optional] Track the running container status
-h, --help              View help for run
-m, --message string    Execution description
-o, --open              [Optional] Open in browser after successfully creating the container
-r, --resource string   Select compute resources

# Create a "Python Script Execution" task, open in browser, and track status in terminal
bayes gear run task -o -f

# Create a "Python Script" task with data bindings
bayes gear run task \
--resource cpu \
--env pytorch-2.0 \
--data openbayes/eBIQp4yPMtU/1:/input0 \
--data openbayes/sTggKplxyT6/1:/input1 \
--data openbayes/bbNaMvDNqO9/1:/input2 \
--data aisensiy/jobs/3s55ypc33ptl/output:/output --message "task message" -- sleep 60


# Create a "Python Script" task with complex commands
bayes gear run task  \
--resource rtx-4090 \
--env pytorch-2.6-2204 -o -f -- 'echo 123 && python main.py'

# Create a Jupyter workspace, open in browser, and track status in terminal
bayes gear run workspace -o -f

# Create a Jupyter workspace with data bindings
bayes gear run workspace \
--resource cpu \
--env pytorch-2.0 \
--data openbayes/eBIQp4yPMtU/1:/input0 \
--data openbayes/sTggKplxyT6/1:/input1 \
--data openbayes/bbNaMvDNqO9/1:/input2 \
--data aisensiy/jobs/3s55ypc33ptl/output:/output \
--message "workspace message"

# Create a "Hyperparameter Tuning" task and open in browser
bayes gear run hypertuning -o