Instructions to use karths/binary_classification_train_requirement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_requirement with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_requirement")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_requirement") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_requirement") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": 0.0771798867964995, | |
| "recall": 0.08263831551523768, | |
| "f1": 0.07978530622587837, | |
| "auc": 0.040068862907287915, | |
| "acc": 0.07250410367744298, | |
| "mcc": 0.1462008875965148 | |
| } |