How to use Johnesss/Toxic-Comment-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://Johnesss/Toxic-Comment-Classification")
https://huggingface.co/Johnesss/Toxic-Comment-Classification/resolve/9c6a30e693853debecb4fb2442f465ea9dcafe49/README.md
hf download hf://Johnesss/Toxic-Comment-Classification@9c6a30e693853debecb4fb2442f465ea9dcafe49/README.md
curl -L -o README.md https://huggingface.co/Johnesss/Toxic-Comment-Classification/resolve/9c6a30e693853debecb4fb2442f465ea9dcafe49/README.md
You need data that is already labeled. There is example of datasets in my dataset (jigsaw-toxic-comment-classification).
