Skip to content

Try Other Floability Backpacks

These examples are not part of the timed, instructor-led tutorial. Use them afterward to explore how the same backpack structure supports other workflow styles and scientific applications.

Continue the TaskVine MobileNet example

The TaskVine section includes a small MobileNet serverless program. The MobileNet batch-inference backpack develops the same idea into a portable workflow with:

  • separate notebooks for ordinary PythonTasks and stateful Function Calls;
  • a non-interactive Python entrypoint supporting both distributed modes and a worker-free baseline;
  • a pinned CPU inference environment;
  • a manifest-defined image dataset;
  • a versioned ONNX model and ImageNet labels;
  • ordinary TaskVine PythonTasks and stateful library functions; and
  • JSON summaries and contact-sheet outputs.

Try the MobileNet backpack →

Find more backpacks

Floability Hub contains the complete collection of public backpacks. Individual repositories document their data, software, expected resources, outputs, and supported execution modes. Review those requirements before running a larger example on a laptop or shared HPC system.