Instructions to use K-A-Uthman/Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use K-A-Uthman/Classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://K-A-Uthman/Classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1039b680abfd927890b6e6e8a0d9affeceaae32a889326b01843d5bb205049b6
- Size of remote file:
- 19.3 MB
- SHA256:
- a48528d5f6a5e83f88a9c141bcc1ee5d5052dad291bafd61c84ab2cbf166fd23
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