Instructions to use Rob4343/FaceShapeAI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use Rob4343/FaceShapeAI with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("Rob4343/FaceShapeAI", "sklearn_model.joblib") ) # only load pickle files from sources you trust # read more about it here https://skops.readthedocs.io/en/stable/persistence.html - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb58309e396a7b0ef04825dd691c97b01c9e6bf6cee3f6c2b8c14304bacf0b77
- Size of remote file:
- 1.31 MB
- SHA256:
- 790585e7c236f108d1131d4d295f28f68b2cbe2702f81ba500c5b8a9ec3294f2
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.