upload int8 onnx model

Signed-off-by: yuwenzho <[email protected]>

README.md

@@ -14,7 +14,9 @@ metrics:
 
 # INT8 MiniLM finetuned MRPC
 
-### Post-training static quantization
+## Post-training static quantization
+
+### PyTorch
 
 This is an INT8  PyTorch model quantized with [huggingface/optimum-intel](https://github.com/huggingface/optimum-intel) through the usage of [Intel® Neural Compressor](https://github.com/intel/neural-compressor). 
 The original fp32 model comes from the fine-tuned model [Intel/MiniLM-L12-H384-uncased-mrpc](https://huggingface.co/Intel/MiniLM-L12-H384-uncased-mrpc).
@@ -38,3 +40,24 @@ int8_model = IncQuantizedModelForSequenceClassification(
     'Intel/MiniLM-L12-H384-uncased-mrpc-int8-static',
 )
 ```
+
+### ONNX
+
+This is an INT8 ONNX model quantized with [Intel® Neural Compressor](https://github.com/intel/neural-compressor).
+
+The original fp32 model comes from the fine-tuned model [Intel/MiniLM-L12-H384-uncased-mrpc](https://huggingface.co/Intel/MiniLM-L12-H384-uncased-mrpc).
+
+#### Test result
+
+|   |INT8|FP32|
+|---|:---:|:---:|
+| **Accuracy (eval-f1)** |0.9137|0.9097|
+| **Model size (MB)**  |120|128|
+
+
+#### Load ONNX model:
+
+```python
+from optimum.onnxruntime import ORTModelForSequenceClassification
+model = ORTModelForSequenceClassification.from_pretrained('Intel/MiniLM-L12-H384-uncased-mrpc-int8-static')
+```

model.onnx

@@ -0,0 +1,3 @@
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