Instructions to use karths/binary_classification_train_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_test") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 195 Bytes
b3026a5 | 1 2 3 4 5 6 7 8 | {
"precision": 0.9436632176236823,
"recall": 0.9282742656508723,
"f1": 0.9358926570938412,
"auc": 0.9786080425826851,
"acc": 0.9383678991177609,
"mcc": 0.876692453324393
} |