Python class

TopLogProb

TopLogProb

class max.pipelines.request.TopLogProb(*, token, logprob, bytes=None)

source

Bases: BaseModel

Log probability information for a token.

Parameters:

• token (str)
• logprob (float)
• bytes (list[int] | None)

bytes

bytes: list[int] | None

source

logprob

logprob: float

source

model_config

model_config: ClassVar[ConfigDict] = {'frozen': True}

source

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

token

token: str

source

Was this page helpful?

Thank you! We'll create more content like this.

Thank you for helping us improve!

😔 What went wrong?

Some code doesn’t work

It includes inaccurate information

It's missing information I need

It was difficult to understand

Other

Submit