Instructions to use karths/binary_classification_train_test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_test with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_test")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_test") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_test", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": { | |
| "ci_lower": 0.8808203338535413, | |
| "ci_upper": 1.0065061013938232 | |
| }, | |
| "recall": { | |
| "ci_lower": 0.8574609447764854, | |
| "ci_upper": 0.9990875865252593 | |
| }, | |
| "f1": { | |
| "ci_lower": 0.8690070658639355, | |
| "ci_upper": 1.0027782483237468 | |
| }, | |
| "auc": { | |
| "ci_lower": 0.9459169481260807, | |
| "ci_upper": 1.0112991370392894 | |
| }, | |
| "acc": { | |
| "ci_lower": 0.8742969122459905, | |
| "ci_upper": 1.0024388859895312 | |
| }, | |
| "mcc": { | |
| "ci_lower": 0.7484630367930185, | |
| "ci_upper": 1.0049218698557676 | |
| } | |
| } |