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:
- 38896dba0d5f30c708b08462bf55d082fa0bd9d026da03de8d588d11834f1d0e
- Size of remote file:
- 1.45 MB
- SHA256:
- 3b0f20c68eb8900d6d1d7e90771caf0b3940287356a322bd9d3965b55c488876
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