Instructions to use samagra14wefi/PreferED with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use samagra14wefi/PreferED with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://samagra14wefi/PreferED") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bc3c7235441e5e36dbce57626784edc88f5b527c11bc47ceb0e02be2a9f501b5
- Size of remote file:
- 1.74 GB
- SHA256:
- 81e3f4cab6071a60aa62cc7ca464a19e8ab651d6bd24311cf3758d31fdbc4448
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