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
Upload 2 files
Browse filesModels for PCA and scaler
- pca.joblib +3 -0
- scaler.joblib +3 -0
pca.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:71d72a4a236231d9dc37a1e349d86764b474394bfbcc940ab84be6dd134e4ffa
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size 221711293
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scaler.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:be5dcbba84a8ba82ed1b43435b38b5673b719c57162be6e2316b19fe1a6e7014
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size 830919
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