Update README.md

README.md

@@ -1,3 +1,46 @@
 ---
+language: en
+tags:
+- bert
+- rte
+- glue
+- torchdistill
+- nlp
+- int8
+- neural-compressor
+- Intel® Neural Compressor
+- text-classfication
+- PostTrainingDynamic
 license: apache-2.0
+datasets:
+- rte
+metrics:
+- f1
 ---
+
+# INT8 bert-large-uncased-rte-int8-dynamic
+
+## Post-training dynamic quantization
+
+### PyTorch
+
+This is an INT8  PyTorch model quantized with [Intel® Neural Compressor](https://github.com/intel/neural-compressor). 
+
+The original fp32 model comes from the fine-tuned model [yoshitomo-matsubara/bert-large-uncased-rte](https://huggingface.co/yoshitomo-matsubara/bert-large-uncased-rte).
+
+#### Test result
+
+|   |INT8|FP32|
+|---|:---:|:---:|
+| **Accuracy (eval-f1)** |0.7076|0.7401|
+| **Model size (MB)**  |766|1349|
+
+#### Load with Intel® Neural Compressor:
+
+```python
+from optimum.intel.neural_compressor.quantization import IncQuantizedModelForSequenceClassification
+
+int8_model = IncQuantizedModelForSequenceClassification.from_pretrained(
+    "Intel/bert-large-uncased-rte-int8-dynamic",
+)
+```