upload int8 onnx model

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

README.md

@@ -7,6 +7,7 @@ tags:
 - int8
 - Intel® Neural Compressor
 - PostTrainingStatic
+- onnx
 datasets:
 - glue
 metrics:
@@ -29,7 +30,9 @@ model-index:
 
 # INT8 electra-small-discriminator-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). 
 
@@ -38,14 +41,14 @@ The original fp32 model comes from the fine-tuned model [electra-small-discrimin
 The calibration dataloader is the train dataloader. The default calibration sampling size 300 isn't divisible exactly by batch size 8, so
  the real sampling size is 304.
 
-### Test result
+#### Test result
 
 |   |INT8|FP32|
 |---|:---:|:---:|
 | **Accuracy (eval-f1)** |0.9007|0.8983|
 | **Model size (MB)**  |14|51.8|
 
-### Load with optimum:
+#### Load with optimum:
 
 ```python
 from optimum.intel.neural_compressor.quantization import IncQuantizedModelForSequenceClassification
@@ -53,3 +56,26 @@ int8_model = IncQuantizedModelForSequenceClassification.from_pretrained(
     'Intel/electra-small-discriminator-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 [electra-small-discriminator-mrpc](https://huggingface.co/Intel/electra-small-discriminator-mrpc).
+
+The calibration dataloader is the eval dataloader. The default calibration sampling size 100 isn't divisible exactly by batch size 8. So the real sampling size is 104.
+
+#### Test result
+
+|   |INT8|FP32|
+|---|:---:|:---:|
+| **Accuracy (eval-f1)** |0.8993|0.8983|
+| **Model size (MB)**  |32|52|
+
+
+#### Load ONNX model:
+
+```python
+from optimum.onnxruntime import ORTModelForSequenceClassification
+model = ORTModelForSequenceClassification.from_pretrained('Intel/electra-small-discriminator-mrpc-int8-static')
+```

model.onnx

@@ -0,0 +1,3 @@
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+size 32868991