Instructions to use KaptainKris/HuggingFace_RL_Course with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use KaptainKris/HuggingFace_RL_Course with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="KaptainKris/HuggingFace_RL_Course", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2904afa8f0ec2d018e333f6f2302995e6a4ff9fe4fe7c88b53f5233b73a15f5c
- Size of remote file:
- 464 kB
- SHA256:
- 3481069a7f02d1cc45b2199def51f0b358a443ee93f33fee7672203211fc7ae5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.