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") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": 0.05061182724235515, | |
| "recall": 0.057030985014325845, | |
| "f1": 0.053867706019232804, | |
| "auc": 0.0263284548025041, | |
| "acc": 0.05160090569144122, | |
| "mcc": 0.1032722352559755 | |
| } |