解决text2vec模型加载报错：UnicodeDecodeError: ‘utf-8‘ codec can‘t decode bytes in position。。。的方法

这个错误是加载模型失败，以下是官方的解决方法：

Answer: The strings (words) stored in your model are not valid utf8. By default, gensim decodes the words using the strict encoding settings, which results in the above exception whenever an invalid utf8 sequence is encountered.
The fix is on your side and it is to either:
a) Store your model using a program that understands unicode and utf8 (such as gensim). Some C and Java word2vec tools are known to truncate the strings at byte boundaries, which can result in cutting a multi-byte utf8 character in half, making it non-valid utf8, leading to this error.
b) Set the unicode_errors flag when running load_word2vec_model, e.g. load_word2vec_model(…, unicode_errors=‘ignore’). Note that this silences the error, but the utf8 problem is still there – invalid utf8 characters will just be ignored in this case.

给出了两种办法：

1. 可以用C和JAVA的相关工具去处文