Struct aws_sdk_transcribe::input::CreateLanguageModelInput

#[non_exhaustive]
pub struct CreateLanguageModelInput {
    pub language_code: Option<ClmLanguageCode>,
    pub base_model_name: Option<BaseModelName>,
    pub model_name: Option<String>,
    pub input_data_config: Option<InputDataConfig>,
    pub tags: Option<Vec<Tag>>,
}

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

language_code: Option<ClmLanguageCode>

The language of the input text you're using to train your custom language model.

base_model_name: Option<BaseModelName>

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

If you want to use your custom language model to transcribe audio with a sample rate of 16,000 Hz or greater, choose Wideband.

If you want to use your custom language model to transcribe audio with a sample rate that is less than 16,000 Hz, choose Narrowband.

model_name: Option<String>

The name you choose for your custom language model when you create it.

input_data_config: Option<InputDataConfig>

Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.

tags: Option<Vec<Tag>>

Adds one or more tags, each in the form of a key:value pair, to a new language model at the time you create this new model.

Implementations

impl CreateLanguageModelInput

pub async fn make_operation(
    &self,
    _config: &Config
) -> Result<Operation<CreateLanguageModel, AwsErrorRetryPolicy>, BuildError>

Consumes the builder and constructs an Operation<CreateLanguageModel>

pub fn builder() -> Builder

Creates a new builder-style object to manufacture CreateLanguageModelInput

impl CreateLanguageModelInput

pub fn language_code(&self) -> Option<&ClmLanguageCode>

The language of the input text you're using to train your custom language model.

pub fn base_model_name(&self) -> Option<&BaseModelName>

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

If you want to use your custom language model to transcribe audio with a sample rate of 16,000 Hz or greater, choose Wideband.

If you want to use your custom language model to transcribe audio with a sample rate that is less than 16,000 Hz, choose Narrowband.

pub fn model_name(&self) -> Option<&str>

The name you choose for your custom language model when you create it.

pub fn input_data_config(&self) -> Option<&InputDataConfig>

Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model.

pub fn tags(&self) -> Option<&[Tag]>

Adds one or more tags, each in the form of a key:value pair, to a new language model at the time you create this new model.

Trait Implementations

impl Clone for CreateLanguageModelInput

fn clone(&self) -> CreateLanguageModelInput

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for CreateLanguageModelInput

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

Formats the value using the given formatter.

impl PartialEq<CreateLanguageModelInput> for CreateLanguageModelInput

fn eq(&self, other: &CreateLanguageModelInput) -> bool

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &CreateLanguageModelInput) -> bool

This method tests for !=.

impl StructuralPartialEq for CreateLanguageModelInput