NLP deep learning solves the en_core_web_sm installation problem

The allennlp package is used in natural language processing, but the problem that en_core_web_sm needs to be installed after the correct installation:
Normal situation: python -m spacy download en_core_web_sm can be installed correctly
but sometimes it will prompt ConnectionError (433) error, here is because Mirror URL error caused by
error correction method:

• First
  find the .condarc file, which is usually hidden under home. The view method is as follows

  1.linux hidden directory file command

  If you don’t ask for a price, you can create one first

  [root@localhost data]# touch a.txt to
  modify the file as a hidden attribute

  [root@localhost data]# mv a.txt .a.txt
  2. Show hidden directory files

  You can choose any of the following commands to show hidden files and directories:

  [root@localhost data]# l.
  . … .201912110952 .a.txt

  [root@localhost data]# ls -d .*
  .… .201912110952 .a.txt
  At the same time, you can use ll -a to display all files and directories:

  [root@localhost data]# ll -a
  total usage 0
  dr-xr-xr-x. 19 root root 248 December 11
  09 : 50 … drwxr-xr-x. 2 root root 6 December 11 09:52 .201912110952
  -rw-r--r--. 1 root root 0 December 11 11:29 .a.txt
  

• Then enter
  cat .condarc to open the file and delete the defaut line. The above picture is the result of the deletion.

• Finally,
  use conda install -c conda-forge spacy-model-en_core_web_sm to achieve the correct installation of en_core_web_sm