Module llm (0.19.1)

Version 0.19.1

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LLM models.

Classes

PaLM2TextEmbeddingGenerator

PaLM2TextEmbeddingGenerator(
    model_name: typing.Literal[
        "textembedding-gecko", "textembedding-gecko-multilingual"
    ] = "textembedding-gecko",
    session: typing.Optional[bigframes.session.Session] = None,
    connection_name: typing.Optional[str] = None,
)

PaLM2 text embedding generator LLM model.

Parameters
Name	Description
model_name	str, Default to "textembedding-gecko" The model for text embedding. “textembedding-gecko” returns model embeddings for text inputs. "textembedding-gecko-multilingual" returns model embeddings for text inputs which support over 100 languages Default to "textembedding-gecko".
session	bigframes.Session or None BQ session to create the model. If None, use the global default session.
connection_name	str or None connection to connect with remote service. str of the format <PROJECT_NUMBER/PROJECT_ID>.

PaLM2TextGenerator

PaLM2TextGenerator(
    model_name: typing.Literal["text-bison", "text-bison-32k"] = "text-bison",
    session: typing.Optional[bigframes.session.Session] = None,
    connection_name: typing.Optional[str] = None,
)

PaLM2 text generator LLM model.

Parameters
Name	Description
model_name	str, Default to "text-bison" The model for natural language tasks. “text-bison” returns model fine-tuned to follow natural language instructions and is suitable for a variety of language tasks. "text-bison-32k" supports up to 32k tokens per request. Default to "text-bison".
session	bigframes.Session or None BQ session to create the model. If None, use the global default session.
connection_name	str or None Connection to connect with remote service. str of the format <PROJECT_NUMBER/PROJECT_ID>.