Instructions to use kimsungil/brain-ich-ensemble with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use kimsungil/brain-ich-ensemble with timm:
import timm model = timm.create_model("hf_hub:kimsungil/brain-ich-ensemble", pretrained=True) - Notebooks
- Google Colab
- Kaggle
File size: 536 Bytes
6818a95 | 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 | {
"task": "multilabel-classification",
"num_classes": 6,
"classes": [
"epidural",
"intraparenchymal",
"intraventricular",
"subarachnoid",
"subdural",
"any"
],
"img_size": 380,
"models": [
{
"name": "tf_efficientnet_b4.ns_jft_in1k",
"file": "tf_efficientnet_b4_ns_jft_in1k_fold0.pt"
},
{
"name": "convnext_small.fb_in22k_ft_in1k",
"file": "convnext_small_fb_in22k_ft_in1k_fold0.pt"
},
{
"name": "resnet18",
"file": "ich_resnet18.pt"
}
]
}
|