Instructions to use edadaltocg/resnet50_simclr_cifar10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use edadaltocg/resnet50_simclr_cifar10 with timm:
import timm model = timm.create_model("hf_hub:edadaltocg/resnet50_simclr_cifar10", pretrained=True) - Notebooks
- Google Colab
- Kaggle
| { | |
| "config": null, | |
| "model": "resnet50_simclr_cifar10", | |
| "batch_size": 512, | |
| "epochs": 501, | |
| "lr": 0.5, | |
| "warmup_epochs": 10, | |
| "validation_frequency": 50, | |
| "output_features_dim": 128, | |
| "seed": 1, | |
| "debug": false, | |
| "dataset": "cifar10", | |
| "training_mode": "simclr" | |
| } |