Image Classification
Keras
biologically-inspired
neuromorphic
dendritic-computing
green-ai
small-parameters-footprint
Eval Results (legacy)
Instructions to use febrifahmi/NoD with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use febrifahmi/NoD with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://febrifahmi/NoD") - Notebooks
- Google Colab
- Kaggle
Upload NoD 1 and 2 Weight only (since HF flagged my keras model as unsafe)
Browse files- mnist_nod.weights.h5 +3 -0
- mnist_nod20.weights.h5 +3 -0
mnist_nod.weights.h5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:62b6a31dd5dc3775c4c1b09c338573c93e9eb15c39f4f4b5006e2813905f71d6
|
| 3 |
+
size 221472
|
mnist_nod20.weights.h5
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:f2311a60af8398379cb5e889de0e717added558f2d059c9bb77e553107b5c035
|
| 3 |
+
size 221472
|