(self, tokens, skip_special_tokens=True)
| 68 | return tokens |
| 69 | |
| 70 | def decode(self, tokens, skip_special_tokens=True): |
| 71 | if isinstance(tokens, torch.Tensor): |
| 72 | tokens = tokens.tolist() |
| 73 | return ''.join([chr(t) for t in tokens if t < 128]) |
| 74 | |
| 75 | def batch_decode(self, sequences, skip_special_tokens=True): |
| 76 | return [self.decode(seq, skip_special_tokens) for seq in sequences] |