After you train your model, try to grab a assembly function and see the result.
This script will show you how the model perform.
Once you satisfied, you can take out the embedding vector of the function and do whatever you want with it.
from my testing, test.py appears to return predictions for instruction embeddings for the function(s) passed in, and not predictions for function embedding itself. How do we obtain function vectors for further use?
from the readme:
from my testing,
test.py
appears to return predictions for instruction embeddings for the function(s) passed in, and not predictions for function embedding itself. How do we obtain function vectors for further use?