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
File size: 279 Bytes
a23f845 1824048 7dd5f4b 1824048 d277473 d53ec02 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | {
"features": [
"PassengerId",
"Pclass",
"Name",
"Sex",
"Age",
"SibSp",
"Parch",
"Ticket",
"Fare",
"Cabin",
"Embarked"
],
"targets": ["Survived"],
"model_type": "random-forest",
"target_mapping": {"Survived": 0, "Survived": 1}
} |