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:
- 074f94e1abd355df3dcafd35f720f5304f665561cbef6fc466c92074bb6a2a11
- Size of remote file:
- 223 kB
- SHA256:
- 9279860206cd3f98ff7e45f445fbcc89a8e84a6d211fbc7c0bbd83fd28614861
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