Instructions to use karths/binary_classification_train_documentation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_documentation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_documentation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_documentation") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_documentation") - Notebooks
- Google Colab
- Kaggle
| { | |
| "precision": 0.0441152400346311, | |
| "recall": 0.042091450304863436, | |
| "f1": 0.043103405546825985, | |
| "auc": 0.019293882386766912, | |
| "acc": 0.04324001999440289, | |
| "mcc": 0.08647066280937205 | |
| } |