3. Transformer-Based Models for Image
Classification
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What it does: These are different models for image classification, including:
BeitForImageClassification (BEiT: BERT Pretraining of Image Transformers)
AutoModelForImageClassification (Automatically selects an image model)
ViTForImageClassification (Vision Transformer for image classification)
ResNetForImageClassification (Residual Network)
ConvNextForImageClassification (CNN-based model for image classification)
Where it's used: The notebook seems to be working with image classification, leveraging
transformer-based architectures like Vision Transformers (ViTs).
