这是我的问题:我正在从事德语文本分类项目。我为此使用spacy,并决定对其预训练的BERT模型进行微调,以获得更好的结果。但是,当我尝试将其加载到代码中时,会显示错误。
这是我所做的:
pip install spacy-transformers
python -m spacy download de_trf_bertbasecased_lg
。它已成功下载并显示:✔ Download and installation successful
You can now load the model via spacy.load('de_trf_bertbasecased_lg')
import spacy
nlp = spacy.load('de_trf_bertbasecased_lg')
输出为:
Traceback (most recent call last):
File "<pyshell#1>", line 1, in <module>
nlp = spacy.load('de_trf_bertbasecased_lg')
File "C:\Python\Python37\lib\site-packages\spacy\__init__.py", line 30, in load
return util.load_model(name, **overrides)
File "C:\Python\Python37\lib\site-packages\spacy\util.py", line 164, in load_model
return load_model_from_package(name, **overrides)
File "C:\Python\Python37\lib\site-packages\spacy\util.py", line 185, in load_model_from_package
return cls.load(**overrides)
File "C:\Python\Python37\lib\site-packages\de_trf_bertbasecased_lg\__init__.py", line 12, in load
return load_model_from_init_py(__file__, **overrides)
File "C:\Python\Python37\lib\site-packages\spacy\util.py", line 228, in load_model_from_init_py
return load_model_from_path(data_path, meta, **overrides)
File "C:\Python\Python37\lib\site-packages\spacy\util.py", line 196, in load_model_from_path
cls = get_lang_class(lang)
File "C:\Python\Python37\lib\site-packages\spacy\util.py", line 70, in get_lang_class
if lang in registry.languages:
File "C:\Python\Python37\lib\site-packages\catalogue.py", line 56, in __contains__
has_entry_point = self.entry_points and self.get_entry_point(name)
File "C:\Python\Python37\lib\site-packages\catalogue.py", line 140, in get_entry_point
return entry_point.load()
File "C:\Python\Python37\lib\site-packages\importlib_metadata\__init__.py", line 94, in load
module = import_module(match.group('module'))
File "C:\Python\Python37\lib\importlib\__init__.py", line 127, in import_module
return _bootstrap._gcd_import(name[level:], package, level)
File "<frozen importlib._bootstrap>", line 1006, in _gcd_import
File "<frozen importlib._bootstrap>", line 983, in _find_and_load
File "<frozen importlib._bootstrap>", line 967, in _find_and_load_unlocked
File "<frozen importlib._bootstrap>", line 677, in _load_unlocked
File "<frozen importlib._bootstrap_external>", line 728, in exec_module
File "<frozen importlib._bootstrap>", line 219, in _call_with_frames_removed
File "C:\Python\Python37\lib\site-packages\spacy_transformers\__init__.py", line 1, in <module>
from .language import TransformersLanguage
File "C:\Python\Python37\lib\site-packages\spacy_transformers\language.py", line 5, in <module>
from .util import is_special_token, pkg_meta, ATTRS, PIPES, LANG_FACTORY
File "C:\Python\Python37\lib\site-packages\spacy_transformers\util.py", line 2, in <module>
import transformers
File "C:\Python\Python37\lib\site-packages\transformers\__init__.py", line 20, in <module>
from .file_utils import (TRANSFORMERS_CACHE, PYTORCH_TRANSFORMERS_CACHE, PYTORCH_PRETRAINED_BERT_CACHE,
File "C:\Python\Python37\lib\site-packages\transformers\file_utils.py", line 37, in <module>
import torch
File "C:\Python\Python37\lib\site-packages\torch\__init__.py", line 81, in <module>
ctypes.CDLL(dll)
File "C:\Python\Python37\lib\ctypes\__init__.py", line 356, in __init__
self._handle = _dlopen(self._name, mode)
OSError: [WinError 126] The specified module could not be found
如果我在PyCharm中运行相同的代码,它还会在以上所有代码之前显示这两行:
2020-05-19 18:00:55.132721: W tensorflow/stream_executor/platform/default/dso_loader.cc:55] Could not
load dynamic library 'cudart64_100.dll'; dlerror: cudart64_100.dll not found
2020-05-19 18:00:55.132990: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart
dlerror if you do not have a GPU set up on your machine.
如果我做对了,这两行会抱怨我没有GPU。但是,根据文档,即使没有GPU,我也应该能够使用BERT。
因此,我现在真的陷入困境,正在寻找您的帮助。
我还应该提到,我以前使用过de_core_news_sm
模型,而且效果很好。
我也已经尝试了几种解决方案,但是没有一个起作用。我试过了:
this和this。我还尝试卸载所有与spacy
相关的库,然后再次安装它们。也没有帮助。
我正在与之合作:
Windows 10 Home
Python:3.7.2
Spacy:2.2.4
Spacy变形金刚:0.5.1
不胜感激!
答案 0 :(得分:1)
尝试:
python -m spacy download de_trf_bertbasecased_lg
python -m spacy download de_trf_bertbasecased_lg-2.2.0
python -m spacy link de_trf_bertbasecased_lg
python -m spacy link de_trf_bertbasecased_lg-2.2.0
或者:
python -m spacy download de
python -m spacy.de.download all
或直接从以下位置下载:
https://deepset.ai/german-bert
然后加载:
nlp = spacy.load(r'Path_To_File\de_trf_bertbasecased_lg-2.2.0')
答案 1 :(得分:1)
您安装torch
时可能有问题。从一个干净的虚拟环境开始,并按照此处的说明安装torch
,将CUDA设置为None:https://pytorch.org/get-started/locally/。然后用spacy-transformers
安装pip
。