Instructions to use rwightman/test_model_rnv250b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use rwightman/test_model_rnv250b with timm:
import timm model = timm.create_model("hf_hub:rwightman/test_model_rnv250b", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Update config.json
Browse files- config.json +1 -1
config.json
CHANGED
|
@@ -25,5 +25,5 @@
|
|
| 25 |
"first_conv": "stem.conv",
|
| 26 |
"classifier": "head.fc",
|
| 27 |
"architecture": "resnetv2_50",
|
| 28 |
-
"num_features": 2048
|
| 29 |
}
|
|
|
|
| 25 |
"first_conv": "stem.conv",
|
| 26 |
"classifier": "head.fc",
|
| 27 |
"architecture": "resnetv2_50",
|
| 28 |
+
"num_features": 2048
|
| 29 |
}
|