Instructions to use nicoler229/p2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nicoler229/p2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nicoler229/p2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| {"data_path": "nicoler229/autotrain-data-renp-vcyx-5hff", "model": "xgboost", "username": "nicoler229", "seed": 42, "train_split": "train", "valid_split": "validation", "project_name": "/tmp/model", "push_to_hub": true, "id_column": "autotrain_id", "target_columns": ["autotrain_label"], "repo_id": "nicoler229/renp-vcyx-5hff-0", "categorical_columns": null, "numerical_columns": null, "task": "regression", "num_trials": 100, "time_limit": 3600, "categorical_imputer": null, "numerical_imputer": "mean", "numeric_scaler": "standard"} |