Instructions to use karths/binary_classification_train_main with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_main with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_main")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_main") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_main") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": 0.12575887249196502, | |
| "recall": 0.06267848721566328, | |
| "f1": 0.09046301930028397, | |
| "auc": 0.060703939280191924, | |
| "acc": 0.09473940508880427, | |
| "mcc": 0.18403016764234956 | |
| } |