remove pytorch weights, please download from huggingface-transformers

JankinShi · Oct 20, 2020 · a954937 · a954937
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diff --git a/README.md b/README.md
@@ -107,7 +107,7 @@ Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, Guoping
 
 > [1] 通用数据包括：百科、新闻、问答等数据，总词数达5.4B，处理后的文本大小约10G
 
-#### PyTorch版本
+### PyTorch版本
 
 如需PyTorch版本，
 
@@ -117,7 +117,7 @@ Yiming Cui, Wanxiang Che, Ting Liu, Bing Qin, Ziqing Yang, Shijin Wang, Guoping
 
 方法：点击任意需要下载的model → 拉到最下方点击"List all files in model" → 在弹出的小框中下载bin和json文件。
 
-#### 使用说明
+### 使用说明
 
 中国大陆境内建议使用讯飞云下载点，境外用户建议使用谷歌下载点，base模型文件大小约**400M**。 
 以TensorFlow版`BERT-wwm, Chinese`为例，下载完毕后对zip文件进行解压得到：

diff --git a/README_EN.md b/README_EN.md
@@ -99,7 +99,7 @@ As all models are 'BERT-base' variants, we do not incidate 'base' in the followi
 | `BERT-base, Multilingual Cased`<sup>Google</sup>  | Wikipedia | [Google Cloud](https://storage.googleapis.com/bert_models/2018_11_23/multi_cased_L-12_H-768_A-12.zip) | - |
 | `BERT-base, Multilingual Uncased`<sup>Google</sup>  | Wikipedia | [Google Cloud](https://storage.googleapis.com/bert_models/2018_11_03/multilingual_L-12_H-768_A-12.zip) | - |
 
-#### PyTorch Version
+### PyTorch Version
 
 If you need these models in PyTorch,
 
@@ -109,7 +109,7 @@ If you need these models in PyTorch,
 
 Steps: select one of the model in the page above → click "list all files in model" at the end of the model page → download bin/json files from the pop-up window
 
-#### Note
+### Note
 
 The whole zip package roughly takes ~400M.
 ZIP package includes the following files: