Reinforcement Learning
stable-baselines3
LunarLander-v3
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use rickbeacham/Hugging-Face-LLM-Course-Work with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use rickbeacham/Hugging-Face-LLM-Course-Work with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="rickbeacham/Hugging-Face-LLM-Course-Work", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download LunarLander-v3.zip from rickbeacham/Hugging-Face-LLM-Course-Work: direct link, hf CLI and curl.
- Browser
- Download file 150 kB
-
https://huggingface.co/rickbeacham/Hugging-Face-LLM-Course-Work/resolve/main/LunarLander-v3.zip
- Command line
-
hf download hf://rickbeacham/Hugging-Face-LLM-Course-Work/LunarLander-v3.zip
-
curl -L -o LunarLander-v3.zip https://huggingface.co/rickbeacham/Hugging-Face-LLM-Course-Work/resolve/main/LunarLander-v3.zip
150 kB
- Xet hash:
- ff846f09dc70469a5c40d079a4feba935e5772a96927677ede175b27a74e135c
- Size of remote file:
- 150 kB
- SHA256:
- 05d24f73563034a036a6cb15d2aead38051339968e89f03c9d7aa1acc3d0810e
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