Image Classification
Scikit-learn
Joblib
ai-image-detection
stable-diffusion
clip
denoising-trajectory
zero-shot
Instructions to use bezand/BoN1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use bezand/BoN1 with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("bezand/BoN1", "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:
- f33c5a012de60e625843e613cc05a18e1f8cc919252ce443d0b8f1a3ad4e6d29
- Size of remote file:
- 11.1 kB
- SHA256:
- 5fbdfda7b01ea9ecd680251467c9609ff081cd062f981f27377f6ce653847b3b
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