Update README.md

README.md

@@ -36,49 +36,7 @@ Weight compression was performed using `nncf.compress_weights` with the followin
 The provided OpenVINO™ IR model is compatible with:
 
 * OpenVINO version 2025.2.0 and higher
-* Optimum Intel 1.26.0 and higher
 
-## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
-
-1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
-
-```
-pip install --pre -U --extra-index-url https://storage.openvinotoolkit.org/simple/wheels/pre-release openvino_tokenizers openvino
-
-pip install git+https://github.com/huggingface/optimum-intel.git
-```
-
-2. Run model inference
-
-```
-from PIL import Image 
-import requests 
-from optimum.intel.openvino import OVModelForVisualCausalLM
-from transformers import AutoTokenizer, TextStreamer
-
-model_id = "OpenVINO/llava-v1.6-mistral-7b-hf-int4-ov"
-
-tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
-
-ov_model = OVModelForVisualCausalLM.from_pretrained(model_id, trust_remote_code=True)
-prompt = "What is unusual on this picture?"
-
-url = "https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/d5fbbd1a-d484-415c-88cb-9986625b7b11"
-image = Image.open(requests.get(url, stream=True).raw)
-
-inputs = ov_model.preprocess_inputs(text=prompt, image=image, tokenizer=tokenizer, config=ov_model.config)
-
-generation_args = { 
-    "max_new_tokens": 100, 
-    "streamer": TextStreamer(tokenizer, skip_prompt=True, skip_special_tokens=True)
-} 
-
-generate_ids = ov_model.generate(**inputs, **generation_args)
-
-generate_ids = generate_ids[:, inputs['input_ids'].shape[1]:]
-response = tokenizer.batch_decode(generate_ids, skip_special_tokens=True)[0]
-
-```
 
 ## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)