(self, texts)
| 252 | self.dataset = reader.SegDataset(self.args) |
| 253 | |
| 254 | def run(self, texts): |
| 255 | crf_result = super(SegModel, self).run(texts)["crf_result"] |
| 256 | result = [word for word, tag, tag_for_rank in crf_result] if self.batch else crf_result[0][0] |
| 257 | return result |
| 258 | |
| 259 | def texts2tensor(self, texts): |
| 260 | """文本输入转为Paddle输入的Tensor""" |