when I run the command
python -m prodigy train output -tc msg.cat -L -m zh_core_web_lg -c config.cfg
then it end up with
========================= Generating Prodigy config =========================
Using config from base model
Generated training config
=========================== Initializing pipeline ===========================
[2023-04-03 00:42:36,617] [DEBUG] Replacing listeners of component 'tagger'
[2023-04-03 00:42:40,830] [DEBUG] Replacing listeners of component 'parser'
[2023-04-03 00:42:49,143] [DEBUG] Replacing listeners of component 'parser'
[2023-04-03 00:42:49,274] [INFO] Set up nlp object from config
Components: textcat
Merging training and evaluation data for 1 components
- [textcat] Training: 9 | Evaluation: 2 (20% split)
Training: 9 | Evaluation: 2
Labels: textcat (3) - [textcat] Attendance, Comment, Profile
[2023-04-03 00:42:49,315] [INFO] Pipeline: ['tok2vec', 'tagger', 'parser', 'attribute_ruler', 'ner', 'textcat']
[2023-04-03 00:42:49,316] [INFO] Resuming training for: ['tok2vec']
[2023-04-03 00:42:49,327] [INFO] Created vocabulary
[2023-04-03 00:42:51,550] [INFO] Added vectors: zh_core_web_lg
[2023-04-03 00:42:52,755] [INFO] Finished initializing nlp object
Traceback (most recent call last):
File "C:\Users\Admin\anaconda3\envs\telegram\lib\runpy.py", line 197, in _run_module_as_main
return run_code(code, main_globals, None,
File "C:\Users\Admin\anaconda3\envs\telegram\lib\runpy.py", line 87, in run_code
exec(code, run_globals)
File "C:\Users\Admin\anaconda3\envs\telegram\lib\site-packages\prodigy_main.py", line 62, in
controller = recipe(args, use_plac=True)
File "cython_src\prodigy\core.pyx", line 374, in prodigy.core.recipe.recipe_decorator.recipe_proxy
File "C:\Users\Admin\anaconda3\envs\telegram\lib\site-packages\plac_core.py", line 367, in call
cmd, result = parser.consume(arglist)
File "C:\Users\Admin\anaconda3\envs\telegram\lib\site-packages\plac_core.py", line 232, in consume
return cmd, self.func((args + varargs + extraopts), **kwargs)
File "C:\Users\Admin\anaconda3\envs\telegram\lib\site-packages\prodigy\recipes\train.py", line 289, in train
return train(
File "C:\Users\Admin\anaconda3\envs\telegram\lib\site-packages\prodigy\recipes\train.py", line 201, in train
nlp = spacy_init_nlp(config, use_gpu=gpu_id)
File "C:\Users\Admin\anaconda3\envs\telegram\lib\site-packages\spacy\training\initialize.py", line 84, in init_nlp
nlp.initialize(lambda: train_corpus(nlp), sgd=optimizer)
File "C:\Users\Admin\anaconda3\envs\telegram\lib\site-packages\spacy\language.py", line 1301, in initialize
self.tokenizer.initialize(get_examples, nlp=self, **tok_settings) # type: ignore[union-attr]
File "C:\Users\Admin\anaconda3\envs\telegram\lib\site-packages\spacy\lang\zh_init.py", line 88, in initialize
self.pkuseg_seg = try_pkuseg_import(
File "C:\Users\Admin\anaconda3\envs\telegram\lib\site-packages\spacy\lang\zh_init.py", line 322, in try_pkuseg_import
return spacy_pkuseg.pkuseg(pkuseg_model, user_dict=pkuseg_user_dict)
File "C:\Users\Admin\anaconda3\envs\telegram\lib\site-packages\spacy_pkuseg_init.py", line 234, in init
self.feature_extractor = FeatureExtractor.load()
File "spacy_pkuseg\feature_extractor.pyx", line 591, in spacy_pkuseg.feature_extractor.FeatureExtractor.load
File "C:\Users\Admin\anaconda3\envs\telegram\lib\ntpath.py", line 78, in join
path = os.fspath(path)
TypeError: expected str, bytes or os.PathLike object, not NoneType