Instructions to use karths/binary_classification_train_requirement with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use karths/binary_classification_train_requirement with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="karths/binary_classification_train_requirement")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("karths/binary_classification_train_requirement") model = AutoModelForSequenceClassification.from_pretrained("karths/binary_classification_train_requirement") - Notebooks
- Google Colab
- Kaggle
File size: 201 Bytes
5ebfe65 | 1 2 3 4 5 6 7 8 | {
"precision": 0.0771798867964995,
"recall": 0.08263831551523768,
"f1": 0.07978530622587837,
"auc": 0.040068862907287915,
"acc": 0.07250410367744298,
"mcc": 0.1462008875965148
} |