Instructions to use ipetrousov/weedcrop_svm_classifier with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use ipetrousov/weedcrop_svm_classifier with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("ipetrousov/weedcrop_svm_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
Download scaler.joblib from ipetrousov/weedcrop_svm_classifier: direct link, hf CLI and curl.
- Browser
- Download file 831 kB
-
https://huggingface.co/ipetrousov/weedcrop_svm_classifier/resolve/main/scaler.joblib
- Command line
-
hf download hf://ipetrousov/weedcrop_svm_classifier/scaler.joblib
-
curl -L -o scaler.joblib https://huggingface.co/ipetrousov/weedcrop_svm_classifier/resolve/main/scaler.joblib
831 kB
- Xet hash:
- b8f7ed1d3c9ee9625d88e54b6972e942884d013c5f8db912f326a50aa7f56233
- Size of remote file:
- 831 kB
- SHA256:
- be5dcbba84a8ba82ed1b43435b38b5673b719c57162be6e2316b19fe1a6e7014
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