Update README.md

README.md

@@ -1,3 +1,21 @@
 ---
 license: apache-2.0
 ---
+# Model Description
+Erya4FT is based on Erya and further fine-tuned on our dataset[RUCAIBox/Erya-dataset · Datasets at Hugging Face](https://huggingface.co/datasets/RUCAIBox/Erya-dataset), enhancing the ability to translate ancient Chinese into Modern Chinese. 
+
+
+# Example
+
+```python
+from transformers import BertTokenizer, CPTForConditionalGeneration
+
+tokenizer = BertTokenizer.from_pretrained("RUCAIBox/Erya")
+model = CPTForConditionalGeneration.from_pretrained("RUCAIBox/Erya4FT")
+
+input_ids = tokenizer("安世字子孺，少以父任为郎。", return_tensors='pt')
+input_ids.pop("token_type_ids")
+
+pred_ids = model.generate(max_new_tokens=256, **input_ids)
+print(tokenizer.batch_decode(pred_ids, skip_special_tokens=True))
+```