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@@ -18,7 +18,7 @@ The provided OpenVINO™ IR model is compatible with:
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  * OpenVINO version 2024.1.0 and higher
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  * Optimum Intel 1.16.0 and higher
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- ## Running Model Inference
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  1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
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@@ -36,7 +36,7 @@ The provided OpenVINO™ IR model is compatible with:
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  tokenizer = AutoTokenizer.from_pretrained(model_id)
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  model = OVModelForCausalLM.from_pretrained(model_id)
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- inputs = tokenizer("What is OpenVINO?", return_tensors="pt")
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  outputs = model.generate(**inputs, max_length=200)
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  text = tokenizer.batch_decode(outputs)[0]
@@ -45,6 +45,38 @@ The provided OpenVINO™ IR model is compatible with:
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  For more examples and possible optimizations, refer to the [OpenVINO Large Language Model Inference Guide](https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide.html).
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  ## Limitations
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  Check the original model card for [limitations](https://huggingface.co/Salesforce/codegen2-3_7B_P#intended-use-and-limitations).
 
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  * OpenVINO version 2024.1.0 and higher
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  * Optimum Intel 1.16.0 and higher
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+ ## Running Model Inference with [Optimum Intel](https://huggingface.co/docs/optimum/intel/index)
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  1. Install packages required for using [Optimum Intel](https://huggingface.co/docs/optimum/intel/index) integration with the OpenVINO backend:
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  tokenizer = AutoTokenizer.from_pretrained(model_id)
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  model = OVModelForCausalLM.from_pretrained(model_id)
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+ inputs = tokenizer("def print_hello_world():", return_tensors="pt")
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  outputs = model.generate(**inputs, max_length=200)
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  text = tokenizer.batch_decode(outputs)[0]
 
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  For more examples and possible optimizations, refer to the [OpenVINO Large Language Model Inference Guide](https://docs.openvino.ai/2024/learn-openvino/llm_inference_guide.html).
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+
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+ ## Running Model Inference with [OpenVINO GenAI](https://github.com/openvinotoolkit/openvino.genai)
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+
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+ 1. Install packages required for using OpenVINO GenAI.
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+ ```
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+ pip install openvino-genai huggingface_hub
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+ ```
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+
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+ 2. Download model from HuggingFace Hub
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+
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+ ```
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+ import huggingface_hub as hf_hub
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+
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+ model_id = "OpenVINO/codegen2-3_7B_P-fp16-ov"
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+ model_path = "codegen2-3_7B_P-fp16-ov"
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+
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+ hf_hub.snapshot_download(model_id, local_dir=model_path)
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+
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+ ```
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+
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+ 3. Run model inference:
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+
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+ ```
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+ import openvino_genai as ov_genai
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+
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+ device = "CPU"
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+ pipe = ov_genai.LLMPipeline(model_path, device)
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+ print(pipe.generate("What is OpenVINO?"))
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+ ```
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+
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+ More GenAI usage examples can be found in OpenVINO GenAI library [docs](https://github.com/openvinotoolkit/openvino.genai/blob/master/src/README.md) and [samples](https://github.com/openvinotoolkit/openvino.genai?tab=readme-ov-file#openvino-genai-samples)
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+
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  ## Limitations
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  Check the original model card for [limitations](https://huggingface.co/Salesforce/codegen2-3_7B_P#intended-use-and-limitations).