Image Classification
Scikit-learn
Keras
English
Cloud
Classifier
YouthAI
Ensemble
Eval Results (legacy)
Instructions to use momererkoc/cloud_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use momererkoc/cloud_classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("momererkoc/cloud_classifier", "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:
- 47698da132c520c7c64ccb5f393b3a70513a884bcb2b0b9e0e1134e34e1daaa8
- Size of remote file:
- 94.6 MB
- SHA256:
- 1144a7c54b53097c1aa6895976548df815bfe60c1ce05674b614a5ae6c6f607b
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.