怎么使用pytorch调用inceptionv3

可以使用以下代码使用pytorch调用inceptionv3：

import torch
import torch.nn as nn
import torch.optim as optim
import torchvision.models as models
import torchvision.transforms as transforms

# Define the InceptionV3 model
model = models.inception_v3(pretrained=True)

# Define the input transform
input_transform = transforms.Compose([
            transforms.Resize(299),
            transforms.CenterCrop(299),
            transforms.ToTensor(),
            transforms.Normalize(mean=[0.485, 0.456, 0.406],
                                 std=[0.229, 0.224, 0.225])
])

# Define the image path
image_path = "path/to/image.jpg"

# Load and preprocess the image
image = Image.open(image_path)
image = input_transform(image).unsqueeze(0) 

# Run the image through the model
output = model(image)

# Print the predicted class
print(torch.argmax(output))