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
Download project/src/__pycache__/__init__.cpython-312.pyc from TWLab/femtosecond-laser-hydrogel-etching-model: direct link, hf CLI and curl.
- Browser
- Download file 138 Bytes
-
https://huggingface.co/TWLab/femtosecond-laser-hydrogel-etching-model/resolve/main/project/src/__pycache__/__init__.cpython-312.pyc
- Command line
-
hf download hf://TWLab/femtosecond-laser-hydrogel-etching-model/project/src/__pycache__/__init__.cpython-312.pyc
-
curl -L -o __init__.cpython-312.pyc https://huggingface.co/TWLab/femtosecond-laser-hydrogel-etching-model/resolve/main/project/src/__pycache__/__init__.cpython-312.pyc
138 Bytes
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