关于数据转换。 about lcf-atepc HOT 12 CLOSED

请参见我在PyABSA种的封装 https://github.com/yangheng95/PyABSA/blob/release/examples/aspect_term_extraction/basic_usage.py

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谢谢您，还有一个问题，我在谷歌云中上传整个文件后，pip install pyabsa,之后运行aspect_term_extraction/extract_aspects.py文件，出现错误如下：
Traceback (most recent call last):
File "examples/aspect_term_extraction/extract_aspects.py", line 8, in
from pyabsa import load_aspect_extractor
File "/usr/local/lib/python3.7/dist-packages/pyabsa/init.py", line 8, in
from .functional import train_apc, load_sentiment_classifier
File "/usr/local/lib/python3.7/dist-packages/pyabsa/functional.py", line 14, in
from pyabsa.apc.inferring.sentiment_classifier import SentimentClassifier
File "/usr/local/lib/python3.7/dist-packages/pyabsa/apc/inferring/sentiment_classifier.py", line 18, in
from pyabsa.apc.models.lcf_bert import LCF_BERT
File "/usr/local/lib/python3.7/dist-packages/pyabsa/apc/models/lcf_bert.py", line 11, in
from pyabsa.encoder.sa_encoder import Encoder
ModuleNotFoundError: No module named 'pyabsa.encoder'

尝试了安装该模块也不行，请问接下来怎么弄呀？

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感谢您的反馈，刚刚修复了这个问题，请更新版本pip install pyabsa==0.6.6.1

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我没有在谷歌云上测试过，如果遇到了其他问题欢迎反馈，感谢

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您好，刚才那个py文件还是不能正常运行，出现错误如下：
Traceback (most recent call last):
File "examples/aspect_term_extraction/extract_aspects.py", line 36, in
auto_device=True # False means load model on CPU
File "/usr/local/lib/python3.7/dist-packages/pyabsa/functional.py", line 136, in load_aspect_extractor
raise RuntimeError('Not a valid model path!')
RuntimeError: Not a valid model path!

我运行笔记本是GPU类型的

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您好，刚才那个py文件还是不能正常运行，出现错误如下：
Traceback (most recent call last):
File "examples/aspect_term_extraction/extract_aspects.py", line 36, in
auto_device=True # False means load model on CPU
File "/usr/local/lib/python3.7/dist-packages/pyabsa/functional.py", line 136, in load_aspect_extractor
raise RuntimeError('Not a valid model path!')
RuntimeError: Not a valid model path!

我运行笔记本是GPU类型的

请问您是否从Google Drive上下载了最新的模型并修改代码中模型的路径？
https://drive.google.com/drive/folders/19DxUn0ahL6e8VB7bcJ-z_eFH3Pw_Jnn2

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我没有从Google Drive中下载，是刚从您github中下载封装的PyABSA，解压然后上传到从Google Drive中的，运行路径是examples/aspect_term_extraction/extract_aspects.py，您分享在Google Drive中的不是运行日志结果吗？

from lcf-atepc.

我没有从Google Drive中下载，是刚从您github中下载封装的PyABSA，解压然后上传到从Google Drive中的，运行路径是examples/aspect_term_extraction/extract_aspects.py，您分享在Google Drive中的不是运行日志结果吗？

你运行的是抽取方面的脚本，需要加载已经训练的模型，我在Google drive上传了已训练了的模型。如果你准备训练模型请使用train开头的脚本。

from lcf-atepc.

我没有从Google Drive中下载，是刚从您github中下载封装的PyABSA，解压然后上传到从Google Drive中的，运行路径是examples/aspect_term_extraction/extract_aspects.py，您分享在Google Drive中的不是运行日志结果吗？

from lcf-atepc.

我没有从Google Drive中下载，是刚从您github中下载封装的PyABSA，解压然后上传到从Google Drive中的，运行路径是examples/aspect_term_extraction/extract_aspects.py，您分享在Google Drive中的不是运行日志结果吗？

训练模型请使用这几个示例脚本

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好的，谢谢您的耐心解答。

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好的，谢谢您的耐心解答。

不用谢，有反馈才能有改进，祝研究顺利！

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