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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Bluepearls commited on
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Parent(s): a23f845
commit from bluepearl
Browse files- config.json +1 -1
config.json
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{
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"model_name": "Random-Forest-Classification
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"description": "A pre-trained Random Forest model",
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"author": "Bluepearl",
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"version": "1.0.0",
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{
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"model_name": "Random-Forest-Classification"
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"description": "A pre-trained Random Forest model",
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"author": "Bluepearl",
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"version": "1.0.0",
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