smilelight / lightnlp Goto Github PK

您好：
使用你的代码测试了一下出了一下错误：ModuleNotFoundError: No module named 'lightnlp.sl.pos.utils'，请问这个错误是怎么导致的？
谢谢

我怎么数据5万行比一万行准确率还低

sr/ss/model.py

    def forward(self, left, right):
        left_vec = self.embedding(left.to(DEVICE)).to(DEVICE)
        #         left_vec = pack_padded_sequence(left_vec, left_sent_lengths)
        right_vec = self.embedding(right.to(DEVICE)).to(DEVICE)
        #         right_vec = pack_padded_sequence(right_vec, right_sent_lengths)

        self.hidden = self.init_hidden(batch_size=left.size(1))

        left_lstm_out, (left_lstm_hidden, _) = self.lstm(left_vec, self.hidden)
        #         left_lstm_out, left_batch_size = pad_packed_sequence(left_lstm_out)
        #         assert torch.equal(left_sent_lengths, left_batch_size.to(DEVICE))

        right_lstm_out, (right_lstm_hidden, _) = self.lstm(right_vec, self.hidden)
        #         right_lstm_out, right_batch_size = pad_packed_sequence(right_lstm_out)
        #         assert torch.equal(right_sent_lengths, right_batch_size.to(DEVICE))

        return self.manhattan_distance(left_lstm_hidden[0], right_lstm_hidden[0])

最后一行计算曼哈顿距离 self.manhattan_distance(left_lstm_hidden[0], right_lstm_hidden[0])， 用的是第一层的隐藏状态，是不是有问题？

我是一个新手参照您的dev_path = '../data/ts/test.sample.tsv'下的格式生成了训练集但是会报错属性缺失如下：
File "/Users/hanyang/Downloads/lightNLP-master/examples/test_ts.py", line 20, in
log_dir='/Users/hanyang/Desktop')
File "/Users/hanyang/Downloads/lightNLP-master/lightnlp/tg/ts/module.py", line 31, in train
word_vocab = ts_tool.get_vocab(train_dataset, dev_dataset)
File "/Users/hanyang/Downloads/lightNLP-master/lightnlp/tg/ts/tool.py", line 41, in get_vocab
TEXT.build_vocab(*dataset)
File "/Users/hanyang/Library/Python/3.7/lib/python/site-packages/torchtext/data/field.py", line 298, in build_vocab
for x in data:
File "/Users/hanyang/Library/Python/3.7/lib/python/site-packages/torchtext/data/dataset.py", line 154, in getattr
yield getattr(x, attr)
AttributeError: 'Example' object has no attribute 'summarization'

Mac 最新版本，按照Readme完成安装。
example目录执行python3 ./test_lm.py，报错：

Traceback (most recent call last):
  File "./test_lm.py", line 5, in <module>
    from lightnlp.tg import LM
  File "/usr/local/lib/python3.7/site-packages/lightnlp/tg/__init__.py", line 3, in <module>
    from .cb.module import CB
  File "/usr/local/lib/python3.7/site-packages/lightnlp/tg/cb/module.py", line 16, in <module>
    from .model import CBConfig, CBSeq2Seq
  File "/usr/local/lib/python3.7/site-packages/lightnlp/tg/cb/model.py", line 2, in <module>
    from .models.encoder import Encoder
ModuleNotFoundError: No module named 'lightnlp.tg.cb.models'

垃圾 以后别装逼了 祝你考试失败 垃圾

from lightnlp.sr import SS

Traceback (most recent call last):
File "", line 1, in
File "/home/bb0/anaconda3/lib/python3.6/site-packages/lightnlp/sr/init.py", line 2, in
from .ss.module import SS
File "/home/bb0/anaconda3/lib/python3.6/site-packages/lightnlp/sr/ss/module.py", line 2, in
import torch
File "/home/bb0/anaconda3/lib/python3.6/site-packages/torch/init.py", line 84, in
from torch._C import *
ImportError: libcurand.so.8.0: cannot open shared object file: No such file or directory

我安装的是cuda9.0

the first two dimensions of emissions and tags must match, got (212, 128) and (204, 128)

Thanks for your amazing Library

One simple question about your NER module

vec_path = '/home/lightsmile/NLP/embedding/char/token_vec_300.bin'

The vec bin is a w2v or fasttext file?

I already had my w2v pre-trained bin file because its size is only about 200M.

If fasttext bin file, it is always about 1G , not too capable for production environment.

Thanks a lot.

可以麻烦你提供一下数据集吗？或者数据集的链接

你好，[Errno 2] No such file or directory: './lm_saves/config.pkl' 这里config.pkl文件是什么

吐槽一下：这个line如果是以空格开头的，sc-ner模型都跑不起来。看来还是得找正规点的模型，坑有点多，本来提供一个数据就可以直接跑了，结果调试模型代码半天，太浪费时间了。。。

我想做一个按商品名称对商品进行分类的功能，请问用你这个训练模型合适吗