    def convert_tokens_to_string(self, tokens):
        """Converts a sequence of tokens (string) in a single string."""
        current_sub_tokens = []
        out_string = ''
        prev_is_special = False
        for token in tokens:
            # make sure that special tokens are not decoded using sentencepiece model
            if token in self.all_special_tokens:
                if not prev_is_special:
                    out_string += ' '
                out_string += self.sp_model.decode(current_sub_tokens) + token
                prev_is_special = True
                current_sub_tokens = []
            else:
                current_sub_tokens.append(token)
                prev_is_special = False
        out_string += self.sp_model.decode(current_sub_tokens)
        out_string = self.clean_up_tokenization(out_string)
        out_string = self._maybe_add_prefix_space(tokens=tokens, decoded=out_string)
        return out_string[1:]
Converts a sequence of tokens (string) in a single string.
projects/llava_sam2/hf/models/tokenization_internlm2.py