You can get the TF model weights, and load the into the non-quantized PyTorch model. After that you can just quantize the model using the PTQ flow described in here:

  
      pytorch.org
  
  
    

(beta) Static Quantization with Eager Mode in PyTorch — PyTorch Tutorials... 63