Instructions to use edadaltocg/densenet121_svhn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use edadaltocg/densenet121_svhn with timm:
import timm model = timm.create_model("hf_hub:edadaltocg/densenet121_svhn", pretrained=True) - Notebooks
- Google Colab
- Kaggle
File size: 518 Bytes
dc41038 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 | {
"config": "scripts/train_configs/svhn.json",
"model": "densenet121_svhn",
"dataset": "svhn",
"batch_size": 128,
"epochs": 300,
"validation_frequency": 5,
"seed": 1,
"criterion": "CrossEntropyLoss",
"criterion_kwargs": {},
"optimizer": "SGD",
"lr": 0.01,
"optimizer_kwargs": {
"momentum": 0.9,
"weight_decay": 0.0005
},
"scheduler": "MultiStepLR",
"scheduler_kwargs": {
"gamma": 0.1,
"milestones": [
75,
100,
150,
225
]
},
"debug": false
} |