Reinforcement Learning
Keras
TensorBoard
stable-baselines3
power-grid
ppo
lstm
electricity
forecasting
tensorflow
gym
Instructions to use jacksonferrigno/Grid_AI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use jacksonferrigno/Grid_AI with Keras:
# !pip install -U keras tensorflow huggingface_hub # Keras needs TensorFlow installed to read "hf://" paths, so the tensorflow backend is selected here; # "jax" and "torch" also work for computation once TensorFlow is installed. import os os.environ["KERAS_BACKEND"] = "tensorflow" import keras model = keras.saving.load_model("hf://jacksonferrigno/Grid_AI") - stable-baselines3
How to use jacksonferrigno/Grid_AI with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="jacksonferrigno/Grid_AI", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Ctrl+K