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tinyms.text | ||
=========== | ||
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.. automodule:: tinyms.text | ||
:members: |
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在本地打开浏览器,输入 | ||
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```URL | ||
``` | ||
<公网IP地址>:8888 | ||
``` | ||
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tinyms.text | ||
=========== | ||
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.. automodule:: tinyms.text | ||
:members: |
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# Copyright 2021 Huawei Technologies Co., Ltd | ||
# | ||
# Licensed under the Apache License, Version 2.0 (the "License"); | ||
# you may not use this file except in compliance with the License. | ||
# You may obtain a copy of the License at | ||
# | ||
# http://www.apache.org/licenses/LICENSE-2.0 | ||
# | ||
# Unless required by applicable law or agreed to in writing, software | ||
# distributed under the License is distributed on an "AS IS" BASIS, | ||
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. | ||
# See the License for the specific language governing permissions and | ||
# limitations under the License. | ||
# ============================================================================ | ||
""" | ||
This module is to support text processing for NLP tasks. It is a high performance | ||
NLP text processing module which is developed with ICU4C and cppjieba. | ||
""" | ||
from mindspore.dataset.text.transforms import Lookup, JiebaTokenizer, UnicodeCharTokenizer, Ngram, \ | ||
WordpieceTokenizer, TruncateSequencePair, \ | ||
ToNumber, SlidingWindow, SentencePieceTokenizer, PythonTokenizer | ||
from mindspore.dataset.text.utils import to_str, to_bytes, Vocab, SentencePieceVocab, SentencePieceModel, \ | ||
SPieceTokenizerOutType, SPieceTokenizerLoadType | ||
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text_transform = ["Lookup", "JiebaTokenizer", "UnicodeCharTokenizer", "Ngram", | ||
"WordpieceTokenizer", "TruncateSequencePair", | ||
"ToNumber", "SlidingWindow", "SentencePieceTokenizer", "PythonTokenizer"] | ||
text_utils = ["to_str", "to_bytes", "Vocab", "SentencePieceVocab", "SentencePieceModel", | ||
"SPieceTokenizerOutType", "SPieceTokenizerLoadType"] | ||
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__all__ = [] | ||
__all__.extend(text_transform) | ||
__all__.extend(text_utils) |