Instructions to use Subhajit42/SDL-Prediction-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use Subhajit42/SDL-Prediction-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://Subhajit42/SDL-Prediction-Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0bd9c41724364b423eb8076407ac47e11c479f25f0c11768c310344d9dedb44f
- Size of remote file:
- 473 MB
- SHA256:
- eb8a5466701d94f6a505aac73e87c509ab4bc5588023cff551da3ef982286539
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