Instructions to use chabdullah0566/Omnivision_Classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use chabdullah0566/Omnivision_Classifier with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://chabdullah0566/Omnivision_Classifier") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ffd2a1d1aa49f0e33b1b3d2abc34774332b81dfd1a364a4c44d8ab7e6fe1be8c
- Size of remote file:
- 117 MB
- SHA256:
- cc49a96457187c40025b3dbc54fbc4740f15a4884d5f3a5bb3096f0bfab0250c
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