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") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": 0.08661017207041687, | |
| "recall": 0.0837115889388317, | |
| "f1": 0.08516137838512547, | |
| "auc": 0.04904163930420992, | |
| "acc": 0.08454673453989468, | |
| "mcc": 0.16908196503512965 | |
| } |