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        "description": "# TextClassify\n\n## Model\n\n* fastText char\n* fastText word\n* CNN char embedding\n* CNN word embedding\n* CNN char & word embedding\n* CNN + BiGRU + char & word embedding\n\n## Segment Model\n\n* pyltp\n* jieba\n\n## Embedding\n\n* fastText (CBOW / skip-gram)\n* gensim\n\nchar or word embedding\n\n## Usage\n\n```python\nfrom text_classify import TextClassify\n\n# default params\nt = TextClassify()\ntext = ''\nlogtis = t.predict(text, precision='16')\n\n# get index2label\nt.index2label\n\n# get top label\nt.get_top_label(text, k=5, precision='16')\n```\n\n## Parameters\n\n### `TextClassify`\n\n* model: 'fasttext' (default), 'cnn', 'mcnn', 'mgcnn'\n* cut: True, False (default)\n* cut_model: 'pyltp' (default), 'jieba'\n* pyltp_model: '/data_hdd/ltp_data/cws.model'\n* fasttext_char_model: '/data_hdd/embedding/fasttext/zhihu_char_model.bin'\n* fasttext_word_model: '/data_hdd/embedding/fasttext/zhihu_word_model.bin'\n* cnn_char_model: '/home/keming/GitHub/custom_recom/cnn_char_fulltext_best.pth'\n* cnn_word_model: '/home/keming/GitHub/custom_recom/cnn_word_fulltext_best.pth'\n* mcnn_model: '/home/keming/GitHub/custom_recom/mcnn_fulltext_best.pth'\n* mgcnn_model: '/home/keming/GitHub/custom_recom/mgcnn_fulltext_best.pth'\n* char_embedding_model: '/data_hdd/embedding/wiki_char_256.model'\n* word_embedding_model: '/data_hdd/embedding/wiki_word_256.model'\n* words_index: '/data_hdd/zhihu/topic/words.csv'\n* chars_index: '/data_hdd/zhihu/topic/chars.csv'\n* labels_index: '/data_hdd/zhihu/topic/topics.csv'\n* delete_char: '/data_hdd/zhihu/del_chars.txt'\n* num_class: 384\n* embedding_dim: 256\n* num_filter: 128\n* char_sentence_length: 256\n* word_sentence_length: 128\n* char_vocab_size: 12592\n* word_vocab_size: 727811\n* filter_size_1: [2, 3, 4, 5]\n* filter_size_2: [2, 3, 4]\n* rnn_num_unit: 128\n* rnn_num_layer: 2\n\n### `TextClassify.predict`\n\n* text\n* precision: '16' (default), '32', '64'\n\n### `TextClassify.get_top_label`\n\n* text\n* k: 5 (default), numbers of label to return\n* precision: '16' (default), '32', '64'\n\n",
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