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": 0.957943758349223, | |
| "recall": 0.9667324538184076, | |
| "f1": 0.962292113196896, | |
| "auc": 0.9857531517457145, | |
| "acc": 0.9622257654582069, | |
| "mcc": 0.9245415442212007 | |
| } |