Instructions to use NightPrince/Toxic_Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TF-Keras
How to use NightPrince/Toxic_Classification with TF-Keras:
# Note: 'keras<3.x' or 'tf_keras' must be installed (legacy), and from_pretrained_keras was removed in huggingface_hub 1.0. # See https://github.com/keras-team/tf-keras for more details. # !pip install "huggingface_hub<1.0" tf_keras from huggingface_hub import from_pretrained_keras model = from_pretrained_keras("NightPrince/Toxic_Classification") - Keras
How to use NightPrince/Toxic_Classification with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://NightPrince/Toxic_Classification") - Notebooks
- Google Colab
- Kaggle
File size: 183 Bytes
0fec660 | 1 2 3 4 5 6 7 8 9 10 11 12 | {
"0": "toxic",
"1": "severe_toxic",
"2": "obscene",
"3": "threat",
"4": "insult",
"5": "identity_hate",
"6": "non_toxic",
"7": "other",
"8": "unknown"
}
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