Instructions to use aikenml/AI-text-humanizer-deberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use aikenml/AI-text-humanizer-deberta with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://aikenml/AI-text-humanizer-deberta") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a67580975bc8ab7b571a108be24b7b505fa0a28cac2bd1b2489491776645792e
- Size of remote file:
- 2.22 GB
- SHA256:
- 2d368f8ca61a37af321ab87786f544fb5ad91e1c94fa9ab9ec4b1f69940939b8
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