Update README.md

README.md

@@ -70,7 +70,7 @@ model.cuda()
 ```
 
 ### Export to ONNX
-The goal of exporting to ONNX is to deploy inference by [TensorRT](https://developer.nvidia.com/tensorrt). Fake quantization will be broken into a pair of QuantizeLinear/DequantizeLinear ONNX ops. After setting static member of TensorQuantizer to use Pytorch’s own fake quantization functions, fake quantized model can be exported to ONNX, follow the instructions in [torch.onnx](https://pytorch.org/docs/stable/onnx.html). Example:
+The goal of exporting to ONNX is to deploy inference by [TensorRT](https://developer.nvidia.com/tensorrt). Fake quantization will be broken into a pair of QuantizeLinear/DequantizeLinear ONNX ops. After setting the static member **TensorQuantizer** to use Pytorch’s own fake quantization functions, fake quantized model can be exported to ONNX, follow the instructions in [torch.onnx](https://pytorch.org/docs/stable/onnx.html). Example:
 
 ```python
 from pytorch_quantization.nn import TensorQuantizer