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": 0.9931470743278862, "recall": 0.9952456418383518, "acc": 0.9946847064508335, "mcc": 0.9892951744325653, "f1": 0.9941952506596307, "auc": 0.9998631128697893} |