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
File size: 202 Bytes
b3026a5 | 1 2 3 4 5 6 7 8 | {
"precision": 0.05061182724235515,
"recall": 0.057030985014325845,
"f1": 0.053867706019232804,
"auc": 0.0263284548025041,
"acc": 0.05160090569144122,
"mcc": 0.1032722352559755
} |