Instructions to use karths/binary_classification_train_design with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_design with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_design", device_map="auto")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_design") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_design", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": [ | |
| 0.8340094802920955, | |
| 0.9154959924157545, | |
| 0.9701421183015342, | |
| 0.9810338092964715, | |
| 0.9943944726893496 | |
| ], | |
| "recall": [ | |
| 0.8501284116136334, | |
| 0.9247812649632177, | |
| 0.9716623862795456, | |
| 0.9839804979975623, | |
| 0.9961258869107212 | |
| ], | |
| "f1": [ | |
| 0.8419918085794352, | |
| 0.9201152038805518, | |
| 0.9709016571701969, | |
| 0.9825049442548845, | |
| 0.9952594267820642 | |
| ], | |
| "auc": [ | |
| 0.9213721670099608, | |
| 0.9740600180062491, | |
| 0.9955248279117542, | |
| 0.9984043728811378, | |
| 0.9997952580012661 | |
| ], | |
| "acc": [ | |
| 0.8421415342206142, | |
| 0.9205539044665547, | |
| 0.9711849076108025, | |
| 0.9826631921262895, | |
| 0.9953050632093554 | |
| ], | |
| "mcc": [ | |
| 0.6844367950446504, | |
| 0.8411493779565805, | |
| 0.9423655216605232, | |
| 0.9653278877230188, | |
| 0.990610733652845 | |
| ] | |
| } |