Instructions to use Bharat2004/deberta-factchecker with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Bharat2004/deberta-factchecker with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Bharat2004/deberta-factchecker")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Bharat2004/deberta-factchecker") model = AutoModelForSequenceClassification.from_pretrained("Bharat2004/deberta-factchecker") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model": "Bharat2004/factchecker-deberta", | |
| "base": "microsoft/deberta-v3-base", | |
| "version": "20260411_1906", | |
| "accuracy": 0.5, | |
| "f1_macro": 0.3333, | |
| "brier_score": 0.25, | |
| "train_samples": 18968, | |
| "max_length": 256 | |
| } |