Instructions to use ml-projects/clickbait-ml_model-one with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ml-projects/clickbait-ml_model-one with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ml-projects/clickbait-ml_model-one") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4a7e749f5a4f7b2c8238f5c06175be228f9eb728986c47fba5a24c25619823ab
- Size of remote file:
- 18.9 kB
- SHA256:
- eff6eee862c8a0880e78305fd6407b5cce481050d47fb9731e5b0be7a290e946
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