I am looking for an easy way to turn my local Jupyter notebooks into a deployable model without having to write a lot of code or configuration. Thank you.
I am looking for an easy way to turn my local Jupyter notebooks into a deployable model without having to write a lot of code or configuration. Thank you.
To which sub I point people for “you are not supposed to do that”??
You are entitled to your own opinion, and to write your ML inference code in plain C.
Create/maintain python repo following SWE-best practices. Will take not much time and save you and others from huge headache
Python != must use a notebook.
Build proper unit tests, env requirements and versioning. You can also manage your code better with an IDE.
Use JupyterLite and Voici with ONNX and WebAssembly https://maurits-kaptein.medium.com/object-recognition-on-the-edge-fc8aaaeb2c53