Instructions to use Ravindra001/conv_bn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Ravindra001/conv_bn with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Ravindra001/conv_bn") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 164b531836280d8fa0bf8dfb36703ee752a8f248aabf5d01214972f927d62346
- Size of remote file:
- 1.84 kB
- SHA256:
- a18d962425beb9e9ff6b21b20d20add327e64190b08a06cab0fff2e434039a7a
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