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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 601 Bytes
a6166ad | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"precision": {
"ci_lower": 0.9427538899775278,
"ci_upper": 1.0157979689981325
},
"recall": {
"ci_lower": 0.9311403519160062,
"ci_upper": 1.0159510359063146
},
"f1": {
"ci_lower": 0.937012988606302,
"ci_upper": 1.0157731672284585
},
"auc": {
"ci_lower": 0.9827126698030874,
"ci_upper": 1.0065623417223573
},
"acc": {
"ci_lower": 0.9391277392497919,
"ci_upper": 1.0152293902893832
},
"mcc": {
"ci_lower": 0.8781878417242713,
"ci_upper": 1.03049136864253
}
} |