Update README.md

README.md

@@ -6,36 +6,19 @@ The quantized version of [stablelm-zephyr-3b](https://huggingface.co/stabilityai
 
 You can use it like this (steps taken from the above link):
 
-```python
-from pathlib import Path
-import sys
-
-
-genai_llm_bench = Path("openvino.genai/llm_bench/python")
-
-if not genai_llm_bench.exists():
-    !git clone  https://github.com/openvinotoolkit/openvino.genai.git
-
-sys.path.append(str(genai_llm_bench))
-```
-
-then
-
-```
-pip install -q --extra-index-url https://download.pytorch.org/whl/cpu -r ./openvino.genai/llm_bench/python/requirements.txt
-pip uninstall -q -y openvino openvino-dev openvino-nightly
-pip install -q openvino-nightly
+```bash
+pip install -q git+https://github.com/huggingface/optimum-intel.git@e22a2ac26b3a6c7854da956d538f784ebeca879b onnx openvino-nightly
 ```
 
 then
 
 ```python
-from utils.ov_model_classes import register_normalized_configs
 from optimum.intel.openvino import OVModelForCausalLM
 from transformers import AutoConfig, AutoTokenizer
+from optimum.utils import NormalizedTextConfig, NormalizedConfigManager
 
-# Load model into Optimum Interface
-register_normalized_configs()
+NormalizedConfigManager._conf['stablelm_epoch'] = NormalizedTextConfig.with_args(num_layers='num_hidden_layers', num_attention_heads='num_attention_heads')
+NormalizedConfigManager._conf['stablelm-epoch'] = NormalizedTextConfig.with_args(num_layers='num_hidden_layers', num_attention_heads='num_attention_heads')
 
 model_path = 'Mihaiii/stablelm-zephyr-3b-OV_FP14-4BIT'
 model = OVModelForCausalLM.from_pretrained(model_path, compile=False, config=AutoConfig.from_pretrained(model_path, trust_remote_code=True), stateful=True)