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 pca.joblib from ipetrousov/weedcrop_svm_classifier: direct link, hf CLI and curl.
- Browser
- Download file 222 MB
-
https://huggingface.co/ipetrousov/weedcrop_svm_classifier/resolve/main/pca.joblib
- Command line
-
hf download hf://ipetrousov/weedcrop_svm_classifier/pca.joblib
-
curl -L -o pca.joblib https://huggingface.co/ipetrousov/weedcrop_svm_classifier/resolve/main/pca.joblib
222 MB
- Xet hash:
- c97c84287b9f183a5f0d0167afe75caefc83b605d437a2d06095609aeb7b209f
- Size of remote file:
- 222 MB
- SHA256:
- 71d72a4a236231d9dc37a1e349d86764b474394bfbcc940ab84be6dd134e4ffa
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