Instructions to use karths/binary_classification_train_build with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_build with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_build")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_build") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_build") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": 0.05510372247221357, | |
| "recall": 0.04970422673822744, | |
| "f1": 0.0524088456130476, | |
| "auc": 0.02584711308047101, | |
| "acc": 0.05196498764361626, | |
| "mcc": 0.10389328134214777 | |
| } |