                              model, vocab=nlp.vocab, disable=["vocab", "tokenizer"]
                          )
                      source_name = pipe_cfg.get("component", pipe_name)
                      nlp.add_pipe(source_name, source=source_nlps[model], name=pipe_name)
          nlp.config = filled if auto_fill else config
          nlp.resolved = resolved
          if after_pipeline_creation is not None:
              nlp = after_pipeline_creation(nlp)
 
</s> remove         if name in self.pipe_names:
            raise ValueError(Errors.E007.format(name=name, opts=self.pipe_names))
 </s> add         if name in self._pipe_names:
            raise ValueError(Errors.E007.format(name=name, opts=self._pipe_names)) </s> remove         self.pipeline = []
 </s> add         self._pipeline = []
        self._disabled = set() </s> remove         for pipe_name in self.pipe_names:
 </s> add         for pipe_name in self._pipe_names: </s> remove     nlp, _ = load_model_from_config(config, vocab=vocab, disable=disable)
    return nlp.from_disk(model_path, exclude=disable)
 </s> add     nlp, _ = load_model_from_config(
        config, vocab=vocab, disable=disable, exclude=exclude
    )
    return nlp.from_disk(model_path, exclude=exclude)
        disabled_pipes = [*config["nlp"]["disabled"], *disable]
        nlp._disabled = set(p for p in disabled_pipes if p not in exclude)
                              model, vocab=nlp.vocab, disable=["vocab", "tokenizer"]
                          )
                      source_name = pipe_cfg.get("component", pipe_name)
                      nlp.add_pipe(source_name, source=source_nlps[model], name=pipe_name)
        disabled_pipes = [*config["nlp"]["disabled"], *disable]
        nlp._disabled = set(p for p in disabled_pipes if p not in exclude)
          nlp.config = filled if auto_fill else config
          nlp.resolved = resolved
          if after_pipeline_creation is not None:
              nlp = after_pipeline_creation(nlp)
keep keep keep add keep keep keep keep
 Allow loaded but disabled components 
spacy/language.py