Instructions to use karths/binary_classification_train_automation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_automation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_automation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_automation") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_automation") - Notebooks
- Google Colab
- Kaggle
File size: 195 Bytes
51c4edf | 1 2 3 4 5 6 7 8 | {
"precision": 0.9471506200653768,
"recall": 0.9530533211128805,
"f1": 0.9500844269824091,
"auc": 0.9812505951725672,
"acc": 0.951127141568981,
"mcc": 0.9022448633509104
} |