Instructions to use ericjedha/densenet201 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ericjedha/densenet201 with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ericjedha/densenet201") - Notebooks
- Google Colab
- Kaggle
Delete Resnet50.keras
Browse files- Resnet50.keras +0 -3
Resnet50.keras
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:c5b92910aca5b92df3161d15c5e9f0261cdb857b7e2869d18ad4bef3d847c88a
|
| 3 |
-
size 492964201
|
|
|
|
|
|
|
|
|
|
|
|