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
File size: 206 Bytes
a6166ad | 1 2 3 4 5 6 7 8 | {
"precision": 0.029413786308644156,
"recall": 0.034152026680727844,
"f1": 0.03171557632986603,
"auc": 0.009603915372343777,
"acc": 0.030645026009323964,
"mcc": 0.06133041110098471
} |