Update README.md

roberta_wwm_ext_zh_brightmart 因为markdown语法错误不能点击

README.md

@@ -39,7 +39,7 @@ pip install git+https://www.github.com/CLUEBenchmark/PyCLUE.git
 7. [albert_small_zh_brightmart](https://storage.googleapis.com/albert_zh/albert_small_zh_google.zip)
 8. [albert_tiny_zh_brightmart](https://storage.googleapis.com/albert_zh/albert_tiny_zh_google.zip)
 9. [roberta_zh_brightmart](https://storage.googleapis.com/chineseglue/pretrain_models/roeberta_zh_L-24_H-1024_A-16.zip)
-10. [roberta_wwm_ext_zh_brightmart]('https://storage.googleapis.com/chineseglue/pretrain_models/chinese_roberta_wwm_ext_L-12_H-768_A-12.zip)
+10. [roberta_wwm_ext_zh_brightmart](https://storage.googleapis.com/chineseglue/pretrain_models/chinese_roberta_wwm_ext_L-12_H-768_A-12.zip)
 11. [roberta_wwm_ext_large_zh_brightmart](https://storage.googleapis.com/chineseglue/pretrain_models/chinese_roberta_wwm_large_ext_L-24_H-1024_A-16.zip)
 
 **待支持**
@@ -317,4 +317,4 @@ CMNLI数据由两部分组成：XNLI和MNLI。数据来自于fiction，telephone
   * 支持TF 2.0；
 * 2020.10 ~ 2020.12
   * 对接[NLPCC 2020 LightLM高性能小模型评测项目](https://github.com/CLUEbenchmark/LightLM)，支持多类小模型；
-  * 整合[CLUE已支持的Pytorch模型](https://github.com/CLUEbenchmark/CLUE/tree/master/baselines/models_pytorch)。
+  * 整合[CLUE已支持的Pytorch模型](https://github.com/CLUEbenchmark/CLUE/tree/master/baselines/models_pytorch)。