| from transformers import Qwen2_5_VLForConditionalGeneration, AutoTokenizer, AutoProcessor |
| from qwen_vl_utils import process_vision_info |
| MODEL_PATH = "Qwen/Qwen2.5-VL-7B-Instruct-AWQ" |
| model = Qwen2_5_VLForConditionalGeneration.from_pretrained( |
| MODEL_PATH, |
| device_map="auto" |
| ) |
| processor = AutoProcessor.from_pretrained(MODEL_PATH) |
|
|
| messages = [{ |
| "role": "user", |
| "content": [ |
| {"type": "image", "image": "https://raw.githubusercontent.com/ymcui/Chinese-LLaMA-Alpaca-3/refs/heads/main/pics/banner.png"}, |
| {"type": "text", "text": "请你描述一下这张图片。"}, |
| ], |
| }] |
|
|
| text = processor.apply_chat_template(messages, tokenize=False, add_generation_prompt=True) |
| image_inputs, video_inputs = process_vision_info(messages) |
| inputs = processor( |
| text=[text], images=image_inputs, videos=video_inputs, |
| padding=True, return_tensors="pt", |
| ).to("cuda") |
|
|
| generated_ids = model.generate(**inputs, max_new_tokens=512) |
| generated_ids_trimmed = [out_ids[len(in_ids) :] for in_ids, out_ids in zip(inputs.input_ids, generated_ids)] |
| output_text = processor.batch_decode(generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False) |
| print(output_text[0]) |
|
|
