Hello, while I try to run the train.py in src, i got this error :
/root/miniconda3/envs/radfm/lib/python3.9/site-packages/spacy/language.py:2195: FutureWarning: Possible set union at position 6328
deserializers["tokenizer"] = lambda p: self.tokenizer.from_disk( # type: ignore[union-attr]
Traceback (most recent call last):
File "/home/test/RadFM/src/train.py", line 129, in
main()
File "/home/test/RadFM/src/train.py", line 109, in main
Train_dataset = multi_dataset(text_tokenizer = model_args.tokenizer_path)
File "/home/test/RadFM/src/Dataset/multi_dataset.py", line 88, in init
self.words_extract = umls_extractor()
File "/home/test/RadFM/src/Dataset/multi_dataset.py", line 25, in init
nlp.add_pipe("abbreviation_detector")
File "/root/miniconda3/envs/radfm/lib/python3.9/site-packages/spacy/language.py", line 821, in add_pipe
pipe_component = self.create_pipe(
File "/root/miniconda3/envs/radfm/lib/python3.9/site-packages/spacy/language.py", line 690, in create_pipe
raise ValueError(err)
ValueError: [E002] Can't find factory for 'abbreviation_detector' for language English (en). This usually happens when spaCy calls nlp.create_pipe with a custom component name that's not registered on the current language class. If you're using a custom component, make sure you've added the decorator @Language.component (for function components) or @Language.factory (for class components).
Hello, while I try to run the train.py in src, i got this error :
/root/miniconda3/envs/radfm/lib/python3.9/site-packages/spacy/language.py:2195: FutureWarning: Possible set union at position 6328 deserializers["tokenizer"] = lambda p: self.tokenizer.from_disk( # type: ignore[union-attr] Traceback (most recent call last): File "/home/test/RadFM/src/train.py", line 129, in
main()
File "/home/test/RadFM/src/train.py", line 109, in main
Train_dataset = multi_dataset(text_tokenizer = model_args.tokenizer_path)
File "/home/test/RadFM/src/Dataset/multi_dataset.py", line 88, in init
self.words_extract = umls_extractor()
File "/home/test/RadFM/src/Dataset/multi_dataset.py", line 25, in init
nlp.add_pipe("abbreviation_detector")
File "/root/miniconda3/envs/radfm/lib/python3.9/site-packages/spacy/language.py", line 821, in add_pipe
pipe_component = self.create_pipe(
File "/root/miniconda3/envs/radfm/lib/python3.9/site-packages/spacy/language.py", line 690, in create_pipe
raise ValueError(err)
ValueError: [E002] Can't find factory for 'abbreviation_detector' for language English (en). This usually happens when spaCy calls
nlp.create_pipe
with a custom component name that's not registered on the current language class. If you're using a custom component, make sure you've added the decorator@Language.component
(for function components) or@Language.factory
(for class components).Available factories: attribute_ruler, tok2vec, merge_noun_chunks, merge_entities, merge_subtokens, token_splitter, doc_cleaner, parser, beam_parser, lemmatizer, trainable_lemmatizer, entity_linker, entity_ruler, tagger, morphologizer, ner, beam_ner, senter, sentencizer, spancat, spancat_singlelabel, span_finder, future_entity_ruler, span_ruler, textcat, textcat_multilabel, en.lemmatizer
i had search some issue said build a new env can solve this , but i tried it's not work