Update README.md

README.md

@@ -36,6 +36,20 @@ This is a fine-tuned ModernBERT model for binary fact-checking classification, t
 - Medical/legal claim verification
 - Highly domain-specific claims
 
+### How to use
+
+```
+python
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+
+tokenizer = AutoTokenizer.from_pretrained("your-username/modernbert-factchecking")
+model = AutoModelForSequenceClassification.from_pretrained("your-username/modernbert-factchecking")
+
+inputs = tokenizer("Your claim to verify here", return_tensors="pt", truncation=True, max_length=512)
+outputs = model(**inputs)
+predictions = torch.softmax(outputs.logits, dim=-1)
+```
+
 ## Training Data
 
 The model was trained on a combination of four datasets: