Logprobs¶

class oci.generative_ai_inference.models.Logprobs(**kwargs)¶

Bases: object

Returns if the logarithmic probabilites is set.

Methods

__init__(**kwargs) Initializes a new Logprobs object with values from keyword arguments.

Attributes

`text_offset`	Gets the text_offset of this Logprobs.
`token_logprobs`	Gets the token_logprobs of this Logprobs.
`tokens`	Gets the tokens of this Logprobs.
`top_logprobs`	Gets the top_logprobs of this Logprobs.

__init__(**kwargs)¶

Initializes a new Logprobs object with values from keyword arguments. The following keyword arguments are supported (corresponding to the getters/setters of this class):

Parameters:

text_offset (list[int]) – The value to assign to the text_offset property of this Logprobs.
token_logprobs (list[float]) – The value to assign to the token_logprobs property of this Logprobs.
tokens (list[str]) – The value to assign to the tokens property of this Logprobs.
top_logprobs (list[dict(str, str)]) – The value to assign to the top_logprobs property of this Logprobs.

text_offset¶

Gets the text_offset of this Logprobs. The text offset.

Returns:	The text_offset of this Logprobs.
Return type:	list[int]

token_logprobs¶

Gets the token_logprobs of this Logprobs. The logarithmic probabilites of the output token.

Returns:	The token_logprobs of this Logprobs.
Return type:	list[float]

tokens¶

Gets the tokens of this Logprobs. The list of output tokens.

Returns:	The tokens of this Logprobs.
Return type:	list[str]

top_logprobs¶

Gets the top_logprobs of this Logprobs. The logarithmic probabilities of each of the top k tokens.

Returns:	The top_logprobs of this Logprobs.
Return type:	list[dict(str, str)]