Instructions to use DriveMyScream/Fake_News_Classification_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use DriveMyScream/Fake_News_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://DriveMyScream/Fake_News_Classification_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad2e41c2d818ee52273c913625b0c1e64872b18d301353bd1952c7b1d628ea0b
- Size of remote file:
- 4.59 MB
- SHA256:
- 59e5eb92dedf0dffc8f98441a4872863be707197dd382f19ed7d9f93d2da77d5
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