Update 2020-10-26-1.7-released.md

Author: andresruizfacebook

_posts/2020-10-26-1.7-released.md

@@ -42,13 +42,13 @@ tensor([ 6.+0.j, -2.+2.j, -2.+0.j, -2.-2.j])
 tensor([12.+16.j, -8.+0.j, -4.-4.j,  0.-8.j])
  ```
 
-* Documentation | [Link](https://pytorch.org/docs/stable/fft.html#torch-fft)
+* Documentation ([Link](https://pytorch.org/docs/stable/fft.html#torch-fft))
 
 ## [Beta] C++ Support for Transformer NN Modules
 
 Since [PyTorch 1.5](https://pytorch.org/blog/pytorch-1-dot-5-released-with-new-and-updated-apis/), we’ve continued to maintain parity between the python and C++ frontend APIs. This update allows developers to use the nn.transformer module abstraction from the C++ Frontend. And moreover, developers no longer need to save a module from python/JIT and load into C++ as it can now be used it in C++ directly. 
 
-* Documentation | [Link](https://pytorch.org/cppdocs/api/classtorch_1_1nn_1_1_transformer_impl.html#_CPPv4N5torch2nn15TransformerImplE)
+* Documentation ([Link](https://pytorch.org/cppdocs/api/classtorch_1_1nn_1_1_transformer_impl.html#_CPPv4N5torch2nn15TransformerImplE))
 
 ## [Beta] torch.set_deterministic