Image Classification
timm
ONNX
PyTorch
English
medical
histopathology
cancer-detection
binary-classification
efficientnet
int8
Eval Results (legacy)
Instructions to use AegisOSS/stage-1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use AegisOSS/stage-1 with timm:
import timm model = timm.create_model("hf-hub:AegisOSS/stage-1", pretrained=True) - Notebooks
- Google Colab
- Kaggle
Add Stage 1 FP32 ONNX model
Browse files- stage1.onnx +3 -0
stage1.onnx
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2d87d21d1bcd1b5a88764c13c3d0d54056053168c2e8dcc7a1d1038287c1ecd8
|
| 3 |
+
size 16467436
|