
# Model Card for VGG19

VGG19BN Model from torchvision.models

Used in 'aiornot' classification competition on HuggingFace. Performs binary classification to detect whether the image is AI-generated or not.

## Model Details

### How to Get Started with the Model

Use the code below to get started with the model.

    ckpt = torch.load('weights.ckpt', map_location=device)
    weights = ckpt['model']
    model = torchvision.models.vgg19_bn().to(device)
    model.load_state_dict(weights)



{}
tensorboard region:us
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# Model Card for VGG19

VGG19BN Model from URL

Used in 'aiornot' classification competition on HuggingFace. Performs binary classification to detect whether the image is AI-generated or not.

## Model Details

### How to Get Started with the Model

Use the code below to get started with the model.

    ckpt = URL('URL', map_location=device)
    weights = ckpt['model']
    model = URL.vgg19_bn().to(device)
    model.load_state_dict(weights)



# Model Card for VGG19

VGG19BN Model from URL

Used in 'aiornot' classification competition on HuggingFace. Performs binary classification to detect whether the image is AI-generated or not. ## Model Details ### How to Get Started with the Model

Use the code below to get started with the model.

    ckpt = URL('URL', map_location=device)
    weights = ckpt['model']
    model = URL.vgg19_bn().to(device)
    model.load_state_dict(weights)
TAGS
#tensorboard #region-us 
 # Model Card for VGG19

VGG19BN Model from URL

Used in 'aiornot' classification competition on HuggingFace. Performs binary classification to detect whether the image is AI-generated or not. ## Model Details ### How to Get Started with the Model

Use the code below to get started with the model.

    ckpt = URL('URL', map_location=device)
    weights = ckpt['model']
    model = URL.vgg19_bn().to(device)
    model.load_state_dict(weights)
TAGS
#tensorboard #region-us 
# Model Card for VGG19

VGG19BN Model from URL

Used in 'aiornot' classification competition on HuggingFace. Performs binary classification to detect whether the image is AI-generated or not.## Model Details### How to Get Started with the Model

Use the code below to get started with the model.

    ckpt = URL('URL', map_location=device)
    weights = ckpt['model']
    model = URL.vgg19_bn().to(device)
    model.load_state_dict(weights)