Instructions to use cmlavo/SSNP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use cmlavo/SSNP with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://cmlavo/SSNP") - Notebooks
- Google Colab
- Kaggle
Upload ssnp_MNIST.keras with huggingface_hub
Browse files- ssnp_MNIST.keras +1 -1
ssnp_MNIST.keras
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 15798125
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a1a7274ee8b04670baeaafa1b2dbc97a8634dd72f45c9e3c4da3c270792c45af
|
| 3 |
size 15798125
|