Question: As the self guide says, I've installed it with (conda environment) conda install -c conda-forge spacy python -m spacy download en_core_web_trf  I have spacy-transformers already installed. But when I simply do: import spacy spacy.load("en_core_web_trf")  It shows me this error: ValueError: [E002] Can't find factory for 'transformer' 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 Transformer, make sure to install 'spacy-transformers'. 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, parser, beam_parser, entity_linker, ner, beam_ner, entity_ruler, lemmatizer, tagger, morphologizer, senter, sentencizer, textcat, spancat, textcat_multilabel, en.lemmatizer  More info about the error: ValueError Traceback (most recent call last) ~\AppData\Local\Temp/ipykernel_11108/2648447056.py in <module> ----> 1 nlp_en = spacy.load("en_core_web_trf") ~\Anaconda3\envs\rl\lib\site-packages\spacy\__init__.py in load(name, vocab, disable, exclude, config) 49 RETURNS (Language): The loaded nlp object. 50 """ ---> 51 return util.load_model( 52 name, vocab=vocab, disable=disable, exclude=exclude, config=config 53 ) ~\Anaconda3\envs\rl\lib\site-packages\spacy\util.py in load_model(name, vocab, disable, exclude, config) 345 return get_lang_class(name.replace("blank:", ""))() 346 if is_package(name): # installed as package --> 347 return load_model_from_package(name, **kwargs) 348 if Path(name).exists(): # path to model data directory 349 return load_model_from_path(Path(name), **kwargs) ~\Anaconda3\envs\rl\lib\site-packages\spacy\util.py in load_model_from_package(name, vocab, disable, exclude, config) 378 """ 379 cls = importlib.import_module(name) --> 380 return cls.load(vocab=vocab, disable=disable, exclude=exclude, config=config) 381 382 ~\Anaconda3\envs\rl\lib\site-packages\en_core_web_trf\__init__.py in load(**overrides) 8 9 def load(**overrides): ---> 10 return load_model_from_init_py(__file__, **overrides) ~\Anaconda3\envs\rl\lib\site-packages\spacy\util.py in load_model_from_init_py(init_file, vocab, disable, exclude, config) 538 if not model_path.exists(): 539 raise IOError(Errors.E052.format(path=data_path)) --> 540 return load_model_from_path( 541 data_path, 542 vocab=vocab, ~\Anaconda3\envs\rl\lib\site-packages\spacy\util.py in load_model_from_path(model_path, meta, vocab, disable, exclude, config) 413 overrides = dict_to_dot(config) 414 config = load_config(config_path, overrides=overrides) --> 415 nlp = load_model_from_config(config, vocab=vocab, disable=disable, exclude=exclude) 416 return nlp.from_disk(model_path, exclude=exclude, overrides=overrides) 417 ~\Anaconda3\envs\rl\lib\site-packages\spacy\util.py in load_model_from_config(config, vocab, disable, exclude, auto_fill, validate) 450 # registry, including custom subclasses provided via entry points 451 lang_cls = get_lang_class(nlp_config["lang"]) --> 452 nlp = lang_cls.from_config( 453 config, 454 vocab=vocab, ~\Anaconda3\envs\rl\lib\site-packages\spacy\language.py in from_config(cls, config, vocab, disable, exclude, meta, auto_fill, validate) 1712 # The pipe name (key in the config) here is the unique name 1713 # of the component, not necessarily the factory -> 1714 nlp.add_pipe( 1715 factory, 1716 name=pipe_name, ~\Anaconda3\envs\rl\lib\site-packages\spacy\language.py in add_pipe(self, factory_name, name, before, after, first, last, source, config, raw_config, validate) 774 lang_code=self.lang, 775 ) --> 776 pipe_component = self.create_pipe( 777 factory_name, 778 name=name, ~\Anaconda3\envs\rl\lib\site-packages\spacy\language.py in create_pipe(self, factory_name, name, config, raw_config, validate) 639 lang_code=self.lang, 640 ) --> 641 raise ValueError(err) 642 pipe_meta = self.get_factory_meta(factory_name) 643 # This is unideal, but the alternative would mean you always need to 

Answer: Are you sure you did install spacy-transformers? After installing spacy? I am using pip: pip install spacy-transformers and I have no problems loading the en_core_web_trf.