parameters: (cls, file_path, max_vectors=None)
return_statement: return super().from_file(file_path, max_vectors)
docstring: Build a FastText vector from a file.
  
          Args:
              file_path (str): Path of the file that contains the vectors. The shuffix of pre-trained vector sets
                  must be `*.vec`.
              max_vectors (int, optional): This can be used to limit the number of pre-trained vectors loaded.
                  Most pre-trained vector sets are sorted in the descending order of word frequency. Thus, in
                  situations where the entire set doesn’t fit in memory, or is not needed for another reason,
                  passing max_vectors can limit the size of the loaded set (default=None, no limit).
  
          Examples:
              >>> fast_text = text.FastText.from_file("/path/to/fast_text/file", max_vectors=None)
docstring_summary: Build a FastText vector from a file.
docstring_tokens: Build a FastText vector from a file .
function: def from_file(cls, file_path, max_vectors=None):
          """
          Build a FastText vector from a file.
  
          Args:
              file_path (str): Path of the file that contains the vectors. The shuffix of pre-trained vector sets
                  must be `*.vec`.
              max_vectors (int, optional): This can be used to limit the number of pre-trained vectors loaded.
                  Most pre-trained vector sets are sorted in the descending order of word frequency. Thus, in
                  situations where the entire set doesn’t fit in memory, or is not needed for another reason,
                  passing max_vectors can limit the size of the loaded set (default=None, no limit).
  
          Examples:
              >>> fast_text = text.FastText.from_file("/path/to/fast_text/file", max_vectors=None)
          """
  
          max_vectors = max_vectors if max_vectors is not None else 0
          return super().from_file(file_path, max_vectors)
function_tokens: def from_file ( cls , file_path , max_vectors = None ) : max_vectors = max_vectors if max_vectors is not None else 0 return super ( ) . from_file ( file_path , max_vectors )