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
- Xet hash:
- 884b92a51228ee561f90e21df9a015fd96b7a36401b7fa53035129d73a9fb16a
- Size of remote file:
- 221 kB
- SHA256:
- 62b6a31dd5dc3775c4c1b09c338573c93e9eb15c39f4f4b5006e2813905f71d6
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