Instructions to use karths/binary_classification_train_design with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_design with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_design")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_design") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_design", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| {"precision": 0.9943944726893496, "recall": 0.9961258869107212, "acc": 0.9953050632093554, "mcc": 0.990610733652845, "f1": 0.9952594267820642, "auc": 0.9997952580012661} |