Instructions to use karths/binary_classification_train_perf with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_perf with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_perf")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_perf") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_perf", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": 0.9707103535505637, | |
| "recall": 0.9759561414958883, | |
| "f1": 0.9733231521176465, | |
| "auc": 0.991143471153863, | |
| "acc": 0.9735625025627452, | |
| "mcc": 0.9471405096283823 | |
| } |