Update README.md

README.md

@@ -1,3 +1,40 @@
 ---
-license: mit
+language: en
+license: apache-2.0
+tags:
+- text-classfication
+- int8
+- Intel® Neural Compressor
+- PostTrainingStatic
+- bert
+datasets:
+- mrpc
+- stsb
+metrics:
+- f1
 ---
+
+# INT8 BERT base uncased finetuned sst2
+
+## 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 [gchhablani/bert-base-cased-finetuned-sst2](https://huggingface.co/gchhablani/bert-base-cased-finetuned-sst2).
+
+#### Test result
+
+|   |INT8|FP32|
+|---|:---:|:---:|
+| **Accuracy (eval-f1)** |0.9151|0.9232|
+| **Model size (MB)**  |111|433|
+
+#### Load with optimum:
+
+```python
+from optimum.intel.neural_compressor.quantization import IncQuantizedModelForSequenceClassification
+int8_model = IncQuantizedModelForSequenceClassification.from_pretrained(
+    'Intel/bert-base-cased-finetuned-sst2-int8',
+)