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
File size: 227 Bytes
10f50df | 1 2 3 4 5 6 7 8 9 10 | {
"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
} |