Instructions to use karths/binary_classification_train_defect with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_defect with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_defect")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_defect") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_defect") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": 0.029413786308644156, | |
| "recall": 0.034152026680727844, | |
| "f1": 0.03171557632986603, | |
| "auc": 0.009603915372343777, | |
| "acc": 0.030645026009323964, | |
| "mcc": 0.06133041110098471 | |
| } |