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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"precision": 0.9971287128712871, "recall": 0.9975237717908082, "acc": 0.9974517483837478, "mcc": 0.9948923072340113, "f1": 0.9973262032085561, "auc": 0.9998716200098702} |