xiongma / chinese-law-bert-similarity Goto Github PK
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License: MIT License
bert chinese similarity
License: MIT License
hi, i meet this problem:
this line : saver = self.tf.train.Saver()
Error: DataLossError (see above for traceback): Checksum does not match: stored 2361353507 vs. calculated on the restored bytes 3689058997
maybe because the model file that i download is incomplete. I try to download it again, but still failed.
我看你说output_layer 是最后4层的连接,可以提高1%,但是代码里缺没有用,不知道是为什么呢?
output_layer = tf.concat([tf.squeeze(model.all_encoder_layers[i][:, 0:1, :], axis=1) for i in range(-4, 0, 1)], axis=-1)
请问这里label表示的什么意思
如题
是否分为3列:text_a,text_b,label,中间'\t'隔开?
您好,非常感谢您的分享。但我在运行这个程序的时候,predict_result =self.sess.run()这一步耗时比较长,平均每次大概在0.1s左右。感觉耗时偏长,不知道您对提高这个程序的运行效率有什么见解吗?
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