Instructions to use amirsoahil101/Bank_Telemarketing_Success_Prediction_using_ANN with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use amirsoahil101/Bank_Telemarketing_Success_Prediction_using_ANN with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://amirsoahil101/Bank_Telemarketing_Success_Prediction_using_ANN") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ee38256b815d78f07fa2b18a212f41b3257d3bcb638a11c3f52e8b82a478040
- Size of remote file:
- 5.47 kB
- SHA256:
- 58ffceda6eaae3e392afbf287d4dbf48e3dad1a565e9b646a6c0ad30101e217e
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