Instructions to use karths/binary_classification_train_comp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_comp with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_comp")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_comp") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_comp") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": { | |
| "ci_lower": 0.879964948964814, | |
| "ci_upper": 1.035922567733632 | |
| }, | |
| "recall": { | |
| "ci_lower": 0.9011847484720348, | |
| "ci_upper": 1.0322801591647803 | |
| }, | |
| "f1": { | |
| "ci_lower": 0.8904332620940503, | |
| "ci_upper": 1.0341509642997417 | |
| }, | |
| "auc": { | |
| "ci_lower": 0.9516280838265948, | |
| "ci_upper": 1.0198782196648344 | |
| }, | |
| "acc": { | |
| "ci_lower": 0.8899554874350446, | |
| "ci_upper": 1.0344960434813693 | |
| }, | |
| "mcc": { | |
| "ci_lower": 0.7802150047216826, | |
| "ci_upper": 1.068868083720719 | |
| } | |
| } |