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 ppo_xauusd.zip from JonusNattapong/Reinforcement-Learning-for-Gold-Trading-Model: direct link, hf CLI and curl.
- Browser
- Download file 156 kB
-
https://huggingface.co/JonusNattapong/Reinforcement-Learning-for-Gold-Trading-Model/resolve/main/ppo_xauusd.zip
- Command line
-
hf download hf://JonusNattapong/Reinforcement-Learning-for-Gold-Trading-Model/ppo_xauusd.zip
-
curl -L -o ppo_xauusd.zip https://huggingface.co/JonusNattapong/Reinforcement-Learning-for-Gold-Trading-Model/resolve/main/ppo_xauusd.zip
156 kB
- Xet hash:
- 8c7c031fdc71f157318f87c9078f3019fe03026f834d2a80e261dec37f901052
- Size of remote file:
- 156 kB
- SHA256:
- 72906d95939d957f59fec1958b6d279e71884cbd33a1470c30b84f8901c20125
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