Update README.md

README.md

@@ -24,7 +24,7 @@ We introduce GNER, a **G**enerative **N**amed **E**ntity **R**ecognition framewo
 * 🔁 Reproduction Materials: [Reproduction Materials](https://drive.google.com/drive/folders/1m2FqDgItEbSoeUVo-i18AwMvBcNkZD46?usp=drive_link)
 
 <p align="center">
-<img src="https://github.com/yyDing1/GNER/blob/main/assets/zero_shot_results.png">
+<img src="https://github.com/yyDing1/GNER/raw/main/assets/zero_shot_results.png">
 </p>
 
 ## PreTrained Models
@@ -62,7 +62,7 @@ Below is an using `GNER-LLaMA`
 >>> response = response[preds.find("[/INST]") + len("[/INST]"):].strip()
 >>> print(response)
 "did(O) george(B-actor) clooney(I-actor) make(O) a(O) musical(B-genre) in(O) the(O) 1980s(B-year)"
-
+```
 
 ## Citation
 
@@ -75,4 +75,3 @@ Below is an using `GNER-LLaMA`
       archivePrefix={arXiv},
       primaryClass={cs.CL}
 }
-```