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
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README.md
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- accuracy
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library_name: keras
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pipeline_tag: text-classification
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---
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# Clickbait-ML Model One
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## Model Card Contact
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[More Information Needed]
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- accuracy
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library_name: keras
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pipeline_tag: text-classification
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datasets:
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- ml-projects/clickbait-ml_dataset
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---
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# Clickbait-ML Model One
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## Model Card Contact
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[More Information Needed]
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