Instructions to use muhalwan/catndog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use muhalwan/catndog with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://muhalwan/catndog") - Notebooks
- Google Colab
- Kaggle
Delete catdog_best.keras
Browse files- catdog_best.keras +0 -3
catdog_best.keras
DELETED
|
@@ -1,3 +0,0 @@
|
|
| 1 |
-
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:6b12d8e7851ea608b22045c31264dd72d2775df14f3d5efb0861dcfa53bba9d1
|
| 3 |
-
size 27545949
|
|
|
|
|
|
|
|
|
|
|
|