Reinforcement Learning
stable-baselines3
Joblib
PyTorch
tabular-regression
xgboost
femtosecond-laser
hydrogel
GelMA
HAMA
laser-machining
SAC
materials-science
manufacturing
ml-intern
Instructions to use TWLab/femtosecond-laser-hydrogel-etching-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use TWLab/femtosecond-laser-hydrogel-etching-model with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="TWLab/femtosecond-laser-hydrogel-etching-model", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e1ba83ca2f1ac87f6818d0eb283da2b9df9bd6ab33cf93676452d1d9b7c40cf
- Size of remote file:
- 153 kB
- SHA256:
- 94d8dc81943c786db944d9ef00761530c41140a6c1546c1f7e126fd29c649868
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