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": { | |
| "ci_lower": 0.7438409236809347, | |
| "ci_upper": 1.0561414525368766 | |
| }, | |
| "recall": { | |
| "ci_lower": 0.8469191538074445, | |
| "ci_upper": 1.002570395882573 | |
| }, | |
| "f1": { | |
| "ci_lower": 0.7978070709154025, | |
| "ci_upper": 1.0224564193833527 | |
| }, | |
| "auc": { | |
| "ci_lower": 0.8882298632854854, | |
| "ci_upper": 1.038977655192209 | |
| }, | |
| "acc": { | |
| "ci_lower": 0.7936030448328055, | |
| "ci_upper": 1.0288720618528275 | |
| }, | |
| "mcc": { | |
| "ci_lower": 0.5978382102853979, | |
| "ci_upper": 1.054845477775216 | |
| } | |
| } |