Instructions to use Johnesss/Toxic-Comment-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Johnesss/Toxic-Comment-Classification with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://Johnesss/Toxic-Comment-Classification") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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## Intended uses & limitations
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If you want to reuse model, try copy this
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from huggingface_hub import from_pretrained_keras
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reloaded_model = from_pretrained_keras('Johnesss/Toxic-Comment-Classification')
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y_testing=reloaded_model.predict(x_testing,verbose=1,batch_size=32)
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test_df['Toxic']=['Not Toxic' if x<0.5 else 'Toxic' for x in y_testing]
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test_df[['comment_text','Toxic']].head(20)
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## Training and evaluation data
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More information needed
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## Intended uses & limitations
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If you want to reuse model, try copy this
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```
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from huggingface_hub import from_pretrained_keras
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reloaded_model = from_pretrained_keras('Johnesss/Toxic-Comment-Classification')
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y_testing=reloaded_model.predict(x_testing,verbose=1,batch_size=32)
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test_df['Toxic']=['Not Toxic' if x<0.5 else 'Toxic' for x in y_testing]
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test_df[['comment_text','Toxic']].head(20)
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```
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## Training and evaluation data
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More information needed
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