timm/resnet50.a1_in1k
🧠 AI Modeltimm
ResNet-50 pretrained on ImageNet-1k, a reliable vision baseline.
The timm/resnet50.a1_in1k model is a ResNet-50 convolutional neural network with 50 layers, pretrained on the ImageNet-1k dataset. It was trained using the timm (PyTorch Image Models) library, which provides high-quality implementations of many vision architectures. The model achieves competitive accuracy on ImageNet validation and is often used as a feature extractor or for transfer learning. It is available in PyTorch and safetensors format, with Apache 2.0 license. Key features include batch normalization, ReLU activations, and a standard ResNet bottleneck design. The model has over 2.4 million downloads and 42 likes on HuggingFace.
💡Highlights
- ├─50-layer deep residual network
- ├─Pretrained on ImageNet-1k
- └─Over 2.4M downloads on HuggingFace
🎯For
- ├─Researchers
- ├─ML Engineers
- └─Hobbyists