Update README.md

README.md

@@ -5,36 +5,11 @@ datasets:
 ---
 ## Model Details
 
-This model is an int4 model with group_size128 and sym quantization of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2)  generated by [intel/auto-round](https://github.com/intel/auto-round).  We found there is a large accuracy drop of asym kernel for this model. If you need AutoGPTQ format, please load the model with revision 5973e3a
+This model is an int4 model with group_size128 and sym quantization of [microsoft/phi-2](https://huggingface.co/microsoft/phi-2)  generated by [intel/auto-round](https://github.com/intel/auto-round). If you need AutoGPTQ format, please load the model with revision 5973e3a
 
 
 
 ### How To Use
-### INT4 Inference with ITREX on CPU
-Install the latest [intel-extension-for-transformers](
-https://github.com/intel/intel-extension-for-transformers)
-```python
-from intel_extension_for_transformers.transformers import AutoModelForCausalLM
-from transformers import AutoTokenizer
-quantized_model_dir = "Intel/phi-2-int4-inc"
-model = AutoModelForCausalLM.from_pretrained(quantized_model_dir,
-                                             device_map="auto",
-                                             trust_remote_code=False,
-                                             use_neural_speed=False,
-                                             ## revision="5973e3a" ##AutoGPTQ format
-                                             )
-tokenizer = AutoTokenizer.from_pretrained(quantized_model_dir, use_fast=True)
-print(tokenizer.decode(model.generate(**tokenizer("There is a girl who likes adventure,", return_tensors="pt").to(model.device),max_new_tokens=50)[0]))
-"""
-There is a girl who likes adventure,
-She loves to explore and to venture.
-She travels to faraway lands,
-And meets people from different lands.
-She learns new languages and cultures,
-And makes friends with all kinds of people.
-She is curious and brave and
-"""
-```
 
 
 ### INT4 Inference