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The SigLIP Image Classification Notebook aims to fine-tune a SigLIP model for image classification, achieving 92% accuracy on a custom dataset using Hugging Face Transformers with a PyTorch backend. It covers environment setup, dataset configuration, class imbalance handling, image preprocessing, and model initialization, detailing each step

Author

khichadenagesh371

Language

EN