#!/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") | |
# ... | |