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ChatModel(model_id: str, endpoint_name: Optional[str] = None)
ChatModel represents a language model that is capable of chat.
.. rubric:: Examples
chat_model = ChatModel.from_pretrained("chat-bison@001")
chat = chat_model.start_chat( context="My name is Ned. You are my personal assistant. My favorite movies are Lord of the Rings and Hobbit.", examples=[ InputOutputTextPair( input_text="Who do you work for?", output_text="I work for Ned.", ), InputOutputTextPair( input_text="What do I like?", output_text="Ned likes watching movies.", ), ], temperature=0.3, )
chat.send_message("Do you know any cool events this weekend?")
Inheritance
builtins.object > vertexai.language_models._language_models._LanguageModel > ChatModelMethods
ChatModel
ChatModel(model_id: str, endpoint_name: Optional[str] = None)
Creates a LanguageModel.
This constructor should not be called directly.
Use LanguageModel.from_pretrained(model_name=...)
instead.
from_pretrained
from_pretrained(model_name: str)
Loads a LanguageModel.
Exceptions | |
---|---|
Type | Description |
ValueError |
If model_name is unknown. |
ValueError |
If model does not support this class. |
get_tuned_model
get_tuned_model(tuned_model_name: str)
Loads the specified tuned language model.
list_tuned_model_names
list_tuned_model_names()
Lists the names of tuned models.
start_chat
start_chat(
*,
context: Optional[str] = None,
examples: Optional[
List[vertexai.language_models._language_models.InputOutputTextPair]
] = None,
max_output_tokens: int = 128,
temperature: float = 0.0,
top_k: int = 40,
top_p: float = 0.95
)
Starts a chat session with the model.
tune_model
tune_model(
training_data: Union[str, pandas.core.frame.DataFrame],
*,
train_steps: int = 1000,
tuning_job_location: Optional[str] = None,
tuned_model_location: Optional[str] = None,
model_display_name: Optional[str] = None
)
Tunes a model based on training data.
This method launches a model tuning job that can take some time.
Exceptions | |
---|---|
Type | Description |
ValueError |
If the "tuning_job_location" value is not supported |
ValueError |
If the "tuned_model_location" value is not supported |
RuntimeError |
If the model does not support tuning |