add support qwen2.5vl

[eaidova]

What does this PR do?

support export qwen2vl from the latest transformers main and qwen2_5_vl

import requests
from PIL import Image
from transformers import AutoProcessor

from optimum.intel.openvino import OVModelForVisualCausalLM

min_pixels = 256 * 28 * 28
max_pixels = 1280 * 28 * 28
model_id = "Qwen/Qwen2.5-VL-3B-Instruct"
# Load the model in half-precision on the available device(s)
model = OVModelForVisualCausalLM.from_pretrained(model_id)
processor = AutoProcessor.from_pretrained(model_id, min_pixels=min_pixels, max_pixels=max_pixels)

# Image
url = "https://github.com/openvinotoolkit/openvino_notebooks/assets/29454499/d5fbbd1a-d484-415c-88cb-9986625b7b11"
image = Image.open(requests.get(url, stream=True).raw)

conversation = [
    {
        "role": "user",
        "content": [
            {
                "type": "image",
            },
            {"type": "text", "text": "Describe this image."},
        ],
    }
]


# Preprocess the inputs
text_prompt = processor.apply_chat_template(conversation, add_generation_prompt=True)
# Excepted output: '<|im_start|>system\nYou are a helpful assistant.<|im_end|>\n<|im_start|>user\n<|vision_start|><|image_pad|><|vision_end|>Describe this image.<|im_end|>\n<|im_start|>assistant\n'

inputs = processor(text=[text_prompt], images=[image], padding=True, return_tensors="pt")

# Inference: Generation of the output
output_ids = model.generate(**inputs, max_new_tokens=10)
generated_ids = [output_ids[len(input_ids) :] for input_ids, output_ids in zip(inputs.input_ids, output_ids)]
output_text = processor.batch_decode(generated_ids, skip_special_tokens=True, clean_up_tokenization_spaces=True)
print(output_text)

fixes #1137

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