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:
- b2f711f32aa6437797f8a2ed4550ecfcd5eb67b7fdd782a8bdc79a2d0f7b2063
- Size of remote file:
- 221 kB
- SHA256:
- f2311a60af8398379cb5e889de0e717added558f2d059c9bb77e553107b5c035
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