Image Classification
Scikit-learn
English
defect-detection
machine-learning
quality-control
ensemble-learning
neural-networks
Eval Results (legacy)
Instructions to use AbdullahImran/Paper-Defect-Detection with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use AbdullahImran/Paper-Defect-Detection with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("AbdullahImran/Paper-Defect-Detection", "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
Rendering notebook...
- Xet hash:
- cf067f65ac21f1d133613e8c8b277e346f70eb399deb6ba5eb5435ff822852ea
- Size of remote file:
- 57.9 MB
- SHA256:
- 8bd8aa7065f46434d8218dcf86e815fc8dcf6ea4bc7960ccbe14af5df9c84eca
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.