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# Jina

Let’s load the Jina Embedding class.

    from langchain.embeddings import JinaEmbeddings

    embeddings = JinaEmbeddings(jina_auth_token=jina_auth_token, model_name="ViT-B-32::openai")

    text = "This is a test document."

    query_result = embeddings.embed_query(text)

    doc_result = embeddings.embed_documents([text])

In the above example, `ViT-B-32::openai`, OpenAI’s pretrained `ViT-B-32` model is used. For a full list of models, see here.