Instructions to use ERISLab/FGIR-KD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use ERISLab/FGIR-KD with timm:
import timm model = timm.create_model("hf-hub:ERISLab/FGIR-KD", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Add students/serial_105
Browse files
students/serial_105/cub_lcnet_035_resnet101.a1_in1k_cal_105.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:518d15e1f97a6d62de3fc9d03ab90ea18a65c09521c5d59b5fa9789f6f22a9bc
|
| 3 |
+
size 2570518
|
students/serial_105/imagenet1k_lcnet_035_resnet101.a1_in1k_cal_105.pth
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:65aae2cd153c09261de93d236184f10647501e5e50abdbca1b0b2edd2726f68c
|
| 3 |
+
size 6671284
|