Instructions to use Bluepearl/Random-Forest-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bluepearl/Random-Forest-Classification with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Bluepearl/Random-Forest-Classification", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Bluepearls commited on
Commit ·
d277473
1
Parent(s): 91505a5
commit from bluepearl
Browse files- config.json +1 -1
config.json
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@@ -13,6 +13,6 @@
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"Embarked"
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],
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"targets": ["Survived"],
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"model_type": "
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"target_mapping": {"Survived": 0, "Survived": 1}
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}
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"Embarked"
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],
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"targets": ["Survived"],
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"model_type": "random-forest",
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"target_mapping": {"Survived": 0, "Survived": 1}
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}
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