Instructions to use okeowo1014/trainingsample with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use okeowo1014/trainingsample with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://okeowo1014/trainingsample") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5205866b38a216324b126dc95146c99708a53e7ab8c56ecc7d0acf5f074fe917
- Size of remote file:
- 24.4 kB
- SHA256:
- ef6270ce18542148710b2f749f6c3b92bad50ee9d0d7efdd42404b47159a29dc
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