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svlandeg 2023-09-08 11:00:36 +02:00
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website/docs/api/large-language-models.mdx
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@ -31,7 +31,7 @@ as well as through task-specific component factories: `llm_ner`, `llm_spancat`,
> config = {"task": {"@llm_tasks": "spacy.NER.v3", "labels": ["PERSON", "ORGANISATION", "LOCATION"]}}
> 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 a task-specific factory and default GPT3.5 model
> llm = nlp.add_pipe("llm-ner")
>
> # Construction from class