#[non_exhaustive]
pub struct LanguageModel { /* private fields */ }
Expand description

Provides information about a custom language model, including the base model name, when the model was created, the location of the files used to train the model, when the model was last modified, the name you chose for the model, its language, its processing state, and if there is an upgrade available for the base model.

Implementations

A unique name, chosen by you, for your custom language model.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.

The date and time the specified custom language model was created.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.

The date and time the specified language model was last modified.

Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.

The language code used to create your custom language model. Each language model must contain terms in only one language, and the language you select for your model must match the language of your training and tuning data.

For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that U.S. English (en-US) is the only language supported with Amazon Transcribe Medical.

The Amazon Transcribe standard language model, or base model, used to create your custom language model.

The status of the specified custom language model. When the status displays as COMPLETED the model is ready for use.

Shows if a more current base model is available for use with the specified custom language model.

If false, your language model is using the most up-to-date base model.

If true, there is a newer base model available than the one your language model is using.

Note that to update a base model, you must recreate the custom language model using the new base model. Base model upgrades for existing custom language models are not supported.

If ModelStatus is FAILED, FailureReason contains information about why the custom language model request failed. See also: Common Errors.

The Amazon S3 location of the input files used to train and tune your custom language model, in addition to the data access role ARN (Amazon Resource Name) that has permissions to access these data.

Creates a new builder-style object to manufacture LanguageModel.

Trait Implementations

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