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encoder.version 	 torch.Size([1])
encoder.embed_tokens.weight 	 torch.Size([41104, 512])
encoder.embed_positions._float_tensor 	 torch.Size([1])
encoder.layers.0.self_attn.in_proj_weight 	 torch.Size([1536, 512])
encoder.layers.0.self_attn.in_proj_bias 	 torch.Size([1536])
encoder.layers.0.self_attn.out_proj.weight 	 torch.Size([512, 512])
encoder.layers.0.self_attn.out_proj.bias 	 torch.Size([512])
encoder.layers.0.bert_attn.k_proj_weight 	 torch.Size([512, 768])
encoder.layers.0.bert_attn.v_proj_weight 	 torch.Size([512, 768])
encoder.layers.0.bert_attn.q_proj_weight 	 torch.Size([512, 512])

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from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import sys
sys.path.append("bert")
import collections
import csv
import os, sys, glob, re

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import jieba
from kashgari.tasks.seq_labeling import BLSTMCRFModel
from kashgari.corpus import ChinaPeoplesDailyNerCorpus
from kashgari.embeddings import BERTEmbedding
embedding = BERTEmbedding('/home/eee/sentence-alignment-classification-model/model/multi_cased_L-12_H-768_A-12', 100)

train_x, train_y = ChinaPeoplesDailyNerCorpus.get_sequence_tagging_data('train')
validate_x, validate_y = ChinaPeoplesDailyNerCorpus.get_sequence_tagging_data('validate')
test_x, test_y  = ChinaPeoplesDailyNerCorpus.get_sequence_tagging_data('test')

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有关文件可于香港上海汇丰银行有限公司办事处查阅，地址为香港皇后大道中 1 号汇丰总行大厦。
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