Связаться с намиПодключиться

Domain

Статья создана
Обновлена 25 августа 2025 г.

class yandex_cloud_ml_sdk._models.text_classifiers.function.TextClassifiers

A class for text classifiers.

It provides a common interface for text classification models and constructs the model URI based on the provided model name and version.

__call__(model_name, *, model_version='latest')

Call the text classification model.

Constructs the URI for the model based on the provided model’s name and version. If the name contains ://, it is treated as a complete URI. Otherwise, it looks up the model name in the well-known names dictionary. But after this, in any case, we construct a URI in the form cls://<folder_id>//.

Parameters

  • model_name (str) – the name or URI of the model to call.
  • model_version (str) – the version of the model to be used. Defaults to ‘latest’.

Model

class yandex_cloud_ml_sdk._models.text_classifiers.model.TextClassifiersModel

A class for text classifiers models. It provides the foundational structure for building text classification models, including configuration and execution of classification tasks.

run(text, *, timeout=60)

Execute the text classification on the provided input text.

If only labels are specified, apply a zero-shot classifier. If samples are also specified - it is a case of the few-shot classifier. If nothing is specified, use the classify method, but it is only available for pre-trained models.

Read more about the classifiers in the documentation.

Parameters

  • text (str) – the input text to classify.
  • timeout (float) – the timeout, or the maximum time to wait for the request to complete in seconds. Defaults to 60 seconds.

Return type

TextClassifiersModelResultBase

tune_deferred(train_datasets, *, classification_type, validation_datasets=Undefined, name=Undefined, description=Undefined, labels=Undefined, seed=Undefined, lr=Undefined, n_samples=Undefined, additional_arguments=Undefined, tuning_type=Undefined, scheduler=Undefined, optimizer=Undefined, timeout=60)

Initiate a deferred tuning process for the model.

Parameters

Return type

TuningTask[TextClassifiersModel]

tune(train_datasets, *, classification_type, validation_datasets=Undefined, name=Undefined, description=Undefined, labels=Undefined, seed=Undefined, lr=Undefined, n_samples=Undefined, additional_arguments=Undefined, tuning_type=Undefined, scheduler=Undefined, optimizer=Undefined, timeout=60, poll_timeout=259200, poll_interval=60)

Tune the model with the specified training datasets and parameters.

Parameters

Return type

Self

attach_tune_deferred(task_id, *, timeout=60)

Attach a deferred tuning task using its task ID.

Parameters

  • task_id (str) – the ID of the deferred tuning task to attach to.
  • timeout (float) – the timeout, or the maximum time to wait for the request to complete in seconds. Defaults to 60 seconds.

Return type

TuningTask[TextClassifiersModel]

property config: ConfigTypeT

configure(*, task_description=Undefined, labels=Undefined, samples=Undefined)

Parameters

Return type

Self

property uri: str