Instructions to use JonusNattapong/Reinforcement-Learning-for-Gold-Trading-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use JonusNattapong/Reinforcement-Learning-for-Gold-Trading-Model with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="JonusNattapong/Reinforcement-Learning-for-Gold-Trading-Model", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download vecnormalize.pkl from JonusNattapong/Reinforcement-Learning-for-Gold-Trading-Model: direct link, hf CLI and curl.
- Browser
- Download file 1.69 kB
-
https://huggingface.co/JonusNattapong/Reinforcement-Learning-for-Gold-Trading-Model/resolve/main/vecnormalize.pkl
- Command line
-
hf download hf://JonusNattapong/Reinforcement-Learning-for-Gold-Trading-Model/vecnormalize.pkl
-
curl -L -o vecnormalize.pkl https://huggingface.co/JonusNattapong/Reinforcement-Learning-for-Gold-Trading-Model/resolve/main/vecnormalize.pkl
1.69 kB
- Xet hash:
- 2193c0a0d8648c71b2045067bcd39356134e729eb93799e452191c32202a4124
- Size of remote file:
- 1.69 kB
- SHA256:
- 596a37dfa4853e97c64a18518a052ef369eec5aa06bfdf8c63060a2311192eb6
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