Instructions to use tribber93/test-classification-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use tribber93/test-classification-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://tribber93/test-classification-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dafc739fb6dcc3c5e60cfe7bbf762eeae495aa4eb966a5da60e27c7076215660
- Size of remote file:
- 135 kB
- SHA256:
- 96d1831dcac38c1772316612d562507ea0adc7964fddd0d3947cc8c9b9638fa1
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