| #!/usr/bin/env python3 | |
| """Test script for the converted model""" | |
| from transformers import Qwen2_5_VLForConditionalGeneration, AutoProcessor | |
| from PIL import Image | |
| import torch | |
| print("Loading model...") | |
| model = Qwen2_5_VLForConditionalGeneration.from_pretrained( | |
| "qwen25-vl-weather-7b", | |
| torch_dtype=torch.float16, | |
| device_map="auto" | |
| ) | |
| processor = AutoProcessor.from_pretrained("qwen25-vl-weather-7b") | |
| print("Model loaded successfully!") | |
| print(f"Model type: {type(model).__name__}") | |
| print(f"Device: {model.device}") | |
| # You can now test with an image | |
| # image = Image.open("test_image.jpg") | |
| # ... | |