Update README.md

README.md

@@ -17,10 +17,12 @@ Weight compression was performed using `nncf.compress_weights` with the followin
 * mode: **int8_asym**
 * ratio: **1**
 For more information on quantization, check the [OpenVINO model optimization guide](https://docs.openvino.ai/2024/openvino-workflow/model-optimization-guide/weight-compression.html).
+
 ## Compatibility
 The provided OpenVINO™ IR model is compatible with:
 * OpenVINO version 2024.5.0 and higher
 * Optimum Intel 1.21.0 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:
 ```
@@ -30,7 +32,7 @@ pip install optimum[openvino]
 ```
 from transformers import AutoProcessor
 from optimum.intel.openvino import OVModelForSpeechSeq2Seq
-model_id = "OpenVINO/whisper-tiny-int8-ov"
+model_id = "bweng/whisper-large-v3-turbo-int8"
 tokenizer = AutoProcessor.from_pretrained(model_id)
 model = OVModelForSpeechSeq2Seq.from_pretrained(model_id)
 dataset = load_dataset("hf-internal-testing/librispeech_asr_dummy", "clean", split="validation", trust_remote_code=True)
@@ -44,6 +46,7 @@ outputs = model.generate(input_features)
 text = processor.batch_decode(outputs)[0]
 print(text)
 ```
+
 ## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)
 1. Install packages required for using OpenVINO GenAI.
 ```
@@ -54,8 +57,8 @@ pip install -U --pre --extra-index-url https://storage.openvinotoolkit.org/simpl
    
 ```
 import huggingface_hub as hf_hub
-model_id = "OpenVINO/whisper-tiny-int8-ov"
-model_path = "whisper-tiny-int8-ov"
+model_id = "bweng/whisper-large-v3-turbo-int8"
+model_path = "whisper-large-v3-turbo-int8"
 hf_hub.snapshot_download(model_id, local_dir=model_path)
 ```
 3. Run model inference: