- 1.22.0 (latest)
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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>.
|