Update README.md

README.md

@@ -10,4 +10,78 @@ tags:
 - vision
 base_model:
 - microsoft/Phi-3.5-vision-instruct
----
+---
+
+# Phi-3.5-vision-instruct-ov-fp16
+
+ * Model creator: [Microsoft](https://huggingface.co/microsoft)
+ * Original model: [Phi-3.5-vision-instruct](https://huggingface.co/microsoft/Phi-3.5-vision-instruct)
+
+## Description
+
+This is [microsoft/Phi-3.5-vision-instruct](https://huggingface.co/microsoft/Phi-3.5-vision-instruct) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2024/documentation/openvino-ir-format.html) (Intermediate Representation) format.
+
+## Compatibility
+
+The provided OpenVINO™ IR model is compatible with:
+
+* OpenVINO version 2025.0.0 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:
+
+```
+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 AutoProcessor, TextStreamer
+
+model_id = "OpenVINO/Phi-3.5-vision-instruct-fp16-ov"
+
+processor = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)
+
+ov_model = OVModelForVisualCausalLM.from_pretrained(model_id, trust_remote_code=True)
+prompt = "<|image_1|>\nWhat 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, processor=processor)
+
+generation_args = { 
+    "max_new_tokens": 50, 
+    "temperature": 0.0, 
+    "do_sample": False,
+    "streamer": TextStreamer(processor.tokenizer, skip_prompt=True, skip_special_tokens=True)
+} 
+
+generate_ids = ov_model.generate(**inputs, 
+  eos_token_id=processor.tokenizer.eos_token_id, 
+  **generation_args
+)
+
+generate_ids = generate_ids[:, inputs['input_ids'].shape[1]:]
+response = processor.batch_decode(generate_ids, 
+  skip_special_tokens=True, 
+  clean_up_tokenization_spaces=False)[0]
+
+```
+
+## Limitations
+
+
+Check the original [model card](https://huggingface.co/microsoft/Phi-3.5-vision-instruct) for limitations.
+
+## Legal information
+
+The original model is distributed under [MIT](https://huggingface.co/microsoft/Phi-3.5-vision-instruct/blob/main/LICENSE) license. More details can be found in [original model card](https://huggingface.co/microsoft/Phi-3.5-vision-instruct).