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:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" 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
- Xet hash:
- a9742b929ac07e7331b0c41b08b493480fe48497660840acb60f1bf454afd719
- Size of remote file:
- 2.87 kB
- SHA256:
- 77950bc9619bb4fa1cd32e9a1b6ebefc4cb86a767b9a652ff75ee0d01283b827
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