openamer

tao-train-image-classification

Description: PyTorch-based TAO image classification. Supports a wide range of backbones (FAN, EfficientNet, ResNet, etc.) with distillation and quantization for deployment. Use when training, evaluating, distilling, quantizing, exporting, or running inference for a TAO image-classification (PyT) model. Trigger phrases include “train image classifier”, “TAO classification”, “ResNet/EfficientNet/FAN backbone classifier”, “classification-pyt”. Lines: 236 | Code: 44 | Dir: tao-train-image-classification



name: tao-train-image-classification description: PyTorch-based TAO image classification. Supports a wide range of backbones (FAN, EfficientNet, ResNet, etc.) with distillation and quantization …