| from mt_model import BERTcForMT, PieceCharTokenizer | |
| tok = PieceCharTokenizer(".") | |
| model = BERTcForMT.from_pretrained(".") | |
| result = model.predict("中华人民共和国万岁", tok) | |
| print(result["words"]) | |
| print(result["pos"]) | |
| print(result["ner"]) | |
| from mt_model import BERTcForMT, PieceCharTokenizer | |
| tok = PieceCharTokenizer(".") | |
| model = BERTcForMT.from_pretrained(".") | |
| result = model.predict("中华人民共和国万岁", tok) | |
| print(result["words"]) | |
| print(result["pos"]) | |
| print(result["ner"]) | |