Update README.md

add example to load the model

README.md

@@ -15,6 +15,18 @@ This is a fact-checking model from our work:
 Multi-Hop Data**](https://arxiv.org/pdf/2501.17144) (NAACL2025, [GitHub Repo](https://github.com/derenlei/FactCG))
 
 
+You can load our model with the following example code:
+
+```python
+from transformers import AutoTokenizer, AutoConfig, AutoModelForSequenceClassification
+config = AutoConfig.from_pretrained("yaxili96/FactCG-DeBERTa-v3-Large", num_labels=2, finetuning_task="text-classification", revision='main', token=None, cache_dir="./cache")
+config.problem_type = "single_label_classification"
+tokenizer = AutoTokenizer.from_pretrained("yaxili96/FactCG-DeBERTa-v3-Large", use_fast=True, revision='main', token=None, cache_dir="./cache")
+model = AutoModelForSequenceClassification.from_pretrained(
+            "yaxili96/FactCG-DeBERTa-v3-Large", config=config, revision='main', token=None, ignore_mismatched_sizes=False, cache_dir="./cache")
+```
+
+
 If you find the repository or FactCG helpful, please cite the following paper
 ```bibtex
 @inproceedings{lei2025factcg,