Instructions to use rievil/crackenpy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use rievil/crackenpy with timm:
import timm model = timm.create_model("hf_hub:rievil/crackenpy", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +0 -1
config.json
CHANGED
|
@@ -1,6 +1,5 @@
|
|
| 1 |
{
|
| 2 |
"architecture":"resnext101_32x8d",
|
| 3 |
-
"model_type":"resnet",
|
| 4 |
"num_labels": 5,
|
| 5 |
"image_size": 416,
|
| 6 |
"pooler_type": "avg"
|
|
|
|
| 1 |
{
|
| 2 |
"architecture":"resnext101_32x8d",
|
|
|
|
| 3 |
"num_labels": 5,
|
| 4 |
"image_size": 416,
|
| 5 |
"pooler_type": "avg"
|