openvino_genai.Tokenizer#

class openvino_genai.Tokenizer#

Bases: pybind11_object

openvino_genai.Tokenizer object is used to initialize Tokenizer if it’s located in a different path than the main model.

__init__(self: openvino_genai.py_generate_pipeline.Tokenizer, tokenizer_path: str, plugin_config: dict[str, object] = {}) → None#

Methods

`__delattr__`(name, /)	Implement delattr(self, name).
`__dir__`()	Default dir() implementation.
`__eq__`(value, /)	Return self==value.
`__format__`(format_spec, /)	Default object formatter.
`__ge__`(value, /)	Return self>=value.
`__getattribute__`(name, /)	Return getattr(self, name).
`__gt__`(value, /)	Return self>value.
`__hash__`()	Return hash(self).
`__init__`(self, tokenizer_path[, plugin_config])
`__init_subclass__`	This method is called when a class is subclassed.
`__le__`(value, /)	Return self<=value.
`__lt__`(value, /)	Return self<value.
`__ne__`(value, /)	Return self!=value.
`__new__`(**kwargs)
`__reduce__`()	Helper for pickle.
`__reduce_ex__`(protocol, /)	Helper for pickle.
`__repr__`()	Return repr(self).
`__setattr__`(name, value, /)	Implement setattr(self, name, value).
`__sizeof__`()	Size of object in memory, in bytes.
`__str__`()	Return str(self).
`__subclasshook__`	Abstract classes can override this to customize issubclass().
`apply_chat_template`(self, history, ...[, ...])	Embeds input prompts with special tags for a chat scenario.
`decode`(args, *kwargs)	Overloaded function.
`encode`(args, *kwargs)	Overloaded function.
`get_bos_token`(self)
`get_bos_token_id`(self)
`get_eos_token`(self)
`get_eos_token_id`(self)
`get_pad_token`(self)
`get_pad_token_id`(self)

__class__#: alias of pybind11_type

__delattr__(name, /)#: Implement delattr(self, name).

__dir__()#: Default dir() implementation.

__eq__(value, /)#: Return self==value.

__format__(format_spec, /)#: Default object formatter.

__ge__(value, /)#: Return self>=value.

__getattribute__(name, /)#: Return getattr(self, name).

__gt__(value, /)#: Return self>value.

__hash__()#: Return hash(self).

__init__(self: openvino_genai.py_generate_pipeline.Tokenizer, tokenizer_path: str, plugin_config: dict[str, object] = {}) → None#

__init_subclass__()#

This method is called when a class is subclassed.

The default implementation does nothing. It may be overridden to extend subclasses.

__le__(value, /)#: Return self<=value.

__lt__(value, /)#: Return self<value.

__ne__(value, /)#: Return self!=value.

__new__(**kwargs)#

__reduce__()#: Helper for pickle.

__reduce_ex__(protocol, /)#: Helper for pickle.

__repr__()#: Return repr(self).

__setattr__(name, value, /)#: Implement setattr(self, name, value).

__sizeof__()#: Size of object in memory, in bytes.

__str__()#: Return str(self).

__subclasshook__()#

Abstract classes can override this to customize issubclass().

This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached).

apply_chat_template(self: openvino_genai.py_generate_pipeline.Tokenizer, history: list[dict[str, str]], add_generation_prompt: bool, chat_template: str = '') → str#: Embeds input prompts with special tags for a chat scenario.

decode(*args, **kwargs)#

Overloaded function.

decode(self: openvino_genai.py_generate_pipeline.Tokenizer, tokens: list[int]) -> str

Decode a sequence into a string prompt.

decode(self: openvino_genai.py_generate_pipeline.Tokenizer, tokens: openvino._pyopenvino.Tensor) -> list

Decode tensor into a list of string prompts.

decode(self: openvino_genai.py_generate_pipeline.Tokenizer, tokens: list[list[int]]) -> list

Decode a batch of tokens into a list of string prompt.

encode(*args, **kwargs)#

Overloaded function.

encode(self: openvino_genai.py_generate_pipeline.Tokenizer, prompts: list[str]) -> ov::genai::TokenizedInputs

Encodes a list of prompts into tokenized inputs.

encode(self: openvino_genai.py_generate_pipeline.Tokenizer, prompt: str) -> ov::genai::TokenizedInputs

Encodes a single prompt into tokenized input.

get_bos_token(self: openvino_genai.py_generate_pipeline.Tokenizer) → str#

get_bos_token_id(self: openvino_genai.py_generate_pipeline.Tokenizer) → int#

get_eos_token(self: openvino_genai.py_generate_pipeline.Tokenizer) → str#

get_eos_token_id(self: openvino_genai.py_generate_pipeline.Tokenizer) → int#

get_pad_token(self: openvino_genai.py_generate_pipeline.Tokenizer) → str#

get_pad_token_id(self: openvino_genai.py_generate_pipeline.Tokenizer) → int#