Struct aws_sdk_transcribe::client::fluent_builders::CreateLanguageModel

pub struct CreateLanguageModel { /* private fields */ }

Fluent builder constructing a request to CreateLanguageModel.

Creates a new custom language model. When creating a new language model, you must specify if you want a Wideband (audio sample rates over 16,000 Hz) or Narrowband (audio sample rates under 16,000 Hz) base model. You then include the S3 URI location of your training and tuning files, the language for the model, a unique name, and any tags you want associated with your model.

Implementations

impl CreateLanguageModel

pub async fn send(
    self
) -> Result<CreateLanguageModelOutput, SdkError<CreateLanguageModelError>>

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn language_code(self, input: ClmLanguageCode) -> Self

The language of your custom language model; note that the language code you select must match the language of your training and tuning data.

pub fn set_language_code(self, input: Option<ClmLanguageCode>) -> Self

The language of your custom language model; note that the language code you select must match the language of your training and tuning data.

pub fn base_model_name(self, input: BaseModelName) -> Self

The Amazon Transcribe standard language model, or base model, used to create your custom language model. Amazon Transcribe offers two options for base models: Wideband and Narrowband.

If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose WideBand. To transcribe audio with a sample rate less than 16,000 Hz, choose NarrowBand.

pub fn set_base_model_name(self, input: Option<BaseModelName>) -> Self

The Amazon Transcribe standard language model, or base model, used to create your custom language model. Amazon Transcribe offers two options for base models: Wideband and Narrowband.

If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose WideBand. To transcribe audio with a sample rate less than 16,000 Hz, choose NarrowBand.

pub fn model_name(self, input: impl Into<String>) -> Self

The name of your new custom language model.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a language model with the same name as a previous language model, you get a ConflictException error.

pub fn set_model_name(self, input: Option<String>) -> Self

The name of your new custom language model.

This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a language model with the same name as a previous language model, you get a ConflictException error.

pub fn input_data_config(self, input: InputDataConfig) -> Self

Contains your data access role ARN (Amazon Resource Name) and the Amazon S3 locations of your training (S3Uri) and tuning (TuningDataS3Uri) data.

pub fn set_input_data_config(self, input: Option<InputDataConfig>) -> Self

Contains your data access role ARN (Amazon Resource Name) and the Amazon S3 locations of your training (S3Uri) and tuning (TuningDataS3Uri) data.

pub fn tags(self, input: Tag) -> Self

Appends an item to Tags.

To override the contents of this collection use set_tags.

Optionally add tags, each in the form of a key:value pair, to your new language model. See also: .

pub fn set_tags(self, input: Option<Vec<Tag>>) -> Self

Optionally add tags, each in the form of a key:value pair, to your new language model. See also: .

Trait Implementations

impl Clone for CreateLanguageModel

fn clone(&self) -> CreateLanguageModel

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for CreateLanguageModel

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.