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After training, I get a trained onlineHD model, but the model is very large when saved. Can I reduce the model size by quantizing the model into binary?
The text was updated successfully, but these errors were encountered:
If you are using the Centroid class then you can access the weights and apply any quantization function to reduce the model size. You can use PyTorch functions to store and load the weights. When you load them you would need to convert the weights back to floats. One thing to keep in mind is that weight binarization will likely decrease the model accuracy.
After training, I get a trained onlineHD model, but the model is very large when saved. Can I reduce the model size by quantizing the model into binary?
The text was updated successfully, but these errors were encountered: