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:
- fb201b3ff63c60b21d4d43def8ba18184bdc5d252c80ada673a4cac344a15584
- Size of remote file:
- 63.4 kB
- SHA256:
- 69b5d88017af62f42b8efd1ba22dc31875c37c607b0bb1a15d5fefbef5411bd1
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