Backprop Deployment Examples

These are some examples for model deployments on Backprop's platform.

On a high level, all deployment needs is zipping some files and uploading them on our Dashboard.

There are three ways of uploading a model:

1. Using dill and serializing a valid model.bin file. See basic-dill for a basic example.
2. Writing a valid inference.py file. See basic-file for a basic example.
3. Using Backprop's library to finetune and deploy a model.

For framework specific examples, check out:

1. Text classification and other tasks in PyTorch.
2. Image classification and other tasks in TensorFlow.
3. Custom task in SKLearn.

A valid model zip file can include as many files as you need, but it needs 3 required files: requirements.txt, model.bin or inference.py, and config.json.

See the examples for valid versions of these files and read our docs for more info.