Instructions to use backgrounddelay/pjm-energy-consumption-forecast with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use backgrounddelay/pjm-energy-consumption-forecast with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://backgrounddelay/pjm-energy-consumption-forecast") - Notebooks
- Google Colab
- Kaggle
Ctrl+K