Update README.md
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README.md
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- text: Hello!
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example_title: Hello world
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group: Python
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---
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This model is for debugging. It is randomly initialized using the config from [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) but with smaller size.
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Codes:
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```python
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import os
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try_inference()
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```
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- text: Hello!
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example_title: Hello world
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group: Python
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base_model:
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- Qwen/Qwen2-VL-7B-Instruct
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---
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This model is for debugging. It is randomly initialized using the config from [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) but with smaller size.
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Usage:
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```python
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from PIL import Image
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import requests
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import torch
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from torchvision import io
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from typing import Dict
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from transformers import Qwen2VLForConditionalGeneration, AutoTokenizer, AutoProcessor
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model_id = "yujiepan/qwen2-vl-tiny-random"
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# Load the model in half-precision on the available device(s)
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model = Qwen2VLForConditionalGeneration.from_pretrained(
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model_id, torch_dtype="auto", device_map="auto"
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)
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processor = AutoProcessor.from_pretrained(model_id)
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# Image
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url = "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VL/assets/demo.jpeg"
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image = Image.open(requests.get(url, stream=True).raw)
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conversation = [
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{
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"role": "user",
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"content": [
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{
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"type": "image",
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},
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{"type": "text", "text": "Describe this image."},
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],
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}
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]
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text_prompt = processor.apply_chat_template(conversation, add_generation_prompt=True)
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# 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'
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inputs = processor(
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text=[text_prompt], images=[image], padding=True, return_tensors="pt"
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)
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inputs = inputs.to("cuda")
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output_ids = model.generate(**inputs, max_new_tokens=128)
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generated_ids = [
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output_ids[len(input_ids) :]
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for input_ids, output_ids in zip(inputs.input_ids, output_ids)
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]
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output_text = processor.batch_decode(
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generated_ids, skip_special_tokens=True, clean_up_tokenization_spaces=True
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)
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print(output_text)
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```
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Codes:
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```python
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import os
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try_inference()
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```
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