Instructions to use pfizer-project-team/binary-segA-vs-segBC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Scikit-learn
How to use pfizer-project-team/binary-segA-vs-segBC with Scikit-learn:
from huggingface_hub import hf_hub_download import joblib model = joblib.load( hf_hub_download("pfizer-project-team/binary-segA-vs-segBC", "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
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license: other
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tags:
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- binary-classification
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- healthcare
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- physician-segmentation
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- scikit-learn
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- xgboost
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# Binary SEG_A vs SEG_B/C Classifier
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license: other
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library_name: sklearn
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tags:
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- binary-classification
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- tabular-classification
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- healthcare
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- physician-segmentation
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# Binary SEG_A vs SEG_B/C Classifier
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