Local Machine Learning Model to Edge Impulse Deployment?

If I have a trained machine learning model which I trained locally on my PC and then converted to tflite is there any way I can upload that trained model (with its parameters) to edge impulse and then create an Arduino Library in the deployment section of edge impulse?

Hello,

It is not supported.
Check
How would I run a pre-trained tflite model inedge impulse enviornment? and
Deploy a Pretrained Model into A Raspberry Pi

@chinmaysahoo

There is a new feature, that could be of interest.
Unveiling BYOM and the Edge Impulse Python SDK
Pretrained models

@chinmaysahoo Yep, just upload your model via the UI (Dashboard > Upload your model) and then deploy to Arduino library (or follow @Joeri’s links to deploy via the Python API).