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fix construction example

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svlandeg 2023-09-08 10:45:38 +02:00
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website/docs/api/large-language-models.mdx
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@ -33,12 +33,12 @@ as well as through task-specific component factories:
> #### Example > #### Example
> >
> ```python > ```python
> # Construction via add_pipe with default GPT3.5 model and NER task > # Construction via add_pipe with the default GPT3.5 model and an explicitly defined task
> config = {"task": {"@llm_tasks": "spacy.NER.v3", "labels": ["PERSON", "ORGANISATION", "LOCATION"]}} > config = {"task": {"@llm_tasks": "spacy.NER.v3", "labels": ["PERSON", "ORGANISATION", "LOCATION"]}}
> llm = nlp.add_pipe("llm") > llm = nlp.add_pipe("llm", config=config)
> >
> # Construction via add_pipe with task-specific factory and default GPT3.5 model > # Construction via add_pipe with task-specific factory and default GPT3.5 model
> parser = nlp.add_pipe("llm-ner", config=config) > llm = nlp.add_pipe("llm-ner")
> >
> # Construction from class > # Construction from class
> from spacy_llm.pipeline import LLMWrapper > from spacy_llm.pipeline import LLMWrapper