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        "author": "Shao Jianzhi",
        "author_email": "shaojianzhi2012@163.com",
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        "description": "This is a bert sentence encoding tool.\n\n## Install\n\n    pip install --index-url https://pypi.python.org/simple/ bert-sent-encoding==0.2.0\nor\n\n    git clone ssh://git@gitlab.leihuo.netease.com:32200/shaojianzhi/bert-sent-encoding.git\n    cd bert-sent-encoding\n    python setup.py install\n## Use\n\n    from bert_sent_encoding import bert_sent_encoding # 1st line\n    bse = bert_sent_encoding(model_path='bert_sent_encoding/model/chinese_L-12_H-768_A-12', seq_length=64, batch_size=8) # 2nd line\n    vector = bse.get_vector('\u4f60\u5403\u996d\u4e86\u5417', word_vector=False, layer=-1)   # 3rd line 1. get vector of string\n    vectors = bse.get_vector(['\u4f60\u5403\u996d\u4e86\u5417', '\u5df2\u7ecf\u5403\u4e86\u5440'], word_vector=False, layer=-1)  # 4th line 2. get vector list of strings\n    bse.write_txt2vector(input_file, output_file, word_vector=False, layer=-1)   # 5th line 3. get and write vectors of strings\n\n\n### for 2nd line:\n    bse = bert_sent_encoding(model_path='bert_sent_encoding/model/chinese_L-12_H-768_A-12', seq_length=64, batch_size=8)\n    *model_path is required, seq_length and batch_size are optional\n### for 3rd, 4th and 5th lines\n    vector = bse.get_vector('\u4f60\u5403\u996d\u4e86\u5417', word_vector=False, layer=-1)   # 3rd line 1. get vector of string\n    vectors = bse.get_vector(['\u4f60\u5403\u996d\u4e86\u5417', '\u5df2\u7ecf\u5403\u4e86\u5440'], word_vector=False, layer=-1)  # 4th line 2. get vector list of strings\n    bse.write_txt2vector(input_file, output_file, word_vector=False, layer=-1)   # 5th line 3. get and write vectors of strings\n    *word_vector and layer are optional*\n\n### for 5th line:\n    bse.write_txt2vector(input_file, output_file)   # 3. get and write vectors of strings\npath of **input_file** and **output_file** are defined by user and below is content of **input_file**:\n\n    the first line text\n    the second line text\n    ...\n\n\n",
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        "license": "BSD",
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        "name": "bert-sent-encoding",
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