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:
- 8e116390871a755f49ca7021b9b38d0108274dc04b4650980c86125862397f8e
- Size of remote file:
- 162 kB
- SHA256:
- f239a86c27ace62fbb100093e62b4eea36ef88ac7b4564c07edd7f3257eafa75
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