Instructions to use karths/binary_classification_train_service with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_service with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_service")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_service") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_service") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": 0.04608549386255197, | |
| "recall": 0.04688480751814882, | |
| "f1": 0.04648267562948704, | |
| "auc": 0.017873831131619895, | |
| "acc": 0.04422486290200226, | |
| "mcc": 0.0886577564594827 | |
| } |