Instructions to use BILALfym/skimlit-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use BILALfym/skimlit-model with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://BILALfym/skimlit-model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6cea631530f799418a9212bb346df5b089ecca771dabc468cd47adc86628b6d7
- Size of remote file:
- 1.71 MB
- SHA256:
- d87d33f15c4ac2c0f249bd5268b6febf6a7cf87200866f3899359f7a44605d29
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