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:
- 37d5eada2a22fd29b616bc2480b71a6c43938439fa07de4b27d3c61ab73af532
- Size of remote file:
- 223 kB
- SHA256:
- b52e1911dbc817f5384a1e4c2de0001ff55d2e86403f20682e6c88d0f95ca342
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