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
- Xet hash:
- 5d82ed55e0d4e17f2d0845d25cd44f52972636913dccda7b0d6d3e16f477904b
- Size of remote file:
- 5.12 MB
- SHA256:
- c7872cb716606afecef57bd1ff229ddf3e87d83812e5b80db48cc0f6c2678ef0
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