Instructions to use karths/binary_classification_train_process with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_process with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_process")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_process") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_process", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": { | |
| "ci_lower": 0.8326827725362738, | |
| "ci_upper": 1.0477642376124137 | |
| }, | |
| "recall": { | |
| "ci_lower": 0.8411500621375467, | |
| "ci_upper": 1.0490333945731065 | |
| }, | |
| "f1": { | |
| "ci_lower": 0.8369055842180666, | |
| "ci_upper": 1.0483892193745041 | |
| }, | |
| "auc": { | |
| "ci_lower": 0.9130252436330024, | |
| "ci_upper": 1.034811719506867 | |
| }, | |
| "acc": { | |
| "ci_lower": 0.8381344996595363, | |
| "ci_upper": 1.0480917725472927 | |
| }, | |
| "mcc": { | |
| "ci_lower": 0.6762956857025461, | |
| "ci_upper": 1.0961816631618833 | |
| } | |
| } |