aws_sdk_transcribe::operation::create_language_model::builders

Struct CreateLanguageModelInputBuilder

#[non_exhaustive]
pub struct CreateLanguageModelInputBuilder { /* private fields */ }

Expand description

A builder for CreateLanguageModelInput.

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impl CreateLanguageModelInputBuilder

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

The language code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language 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 US English (en-US) is the only language supported with Amazon Transcribe Medical.

A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (en-US), you can only apply this model to files that contain English audio.

This field is required.

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

The language code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language 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 US English (en-US) is the only language supported with Amazon Transcribe Medical.

A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (en-US), you can only apply this model to files that contain English audio.

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

The language code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language 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 US English (en-US) is the only language supported with Amazon Transcribe Medical.

A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (en-US), you can only apply this model to files that contain English audio.

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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.

This field is required.

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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.

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

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.

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

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. If you try to create a new custom language model with the same name as an existing custom language model, you get a ConflictException error.

This field is required.

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

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. If you try to create a new custom language model with the same name as an existing custom language model, you get a ConflictException error.

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pub fn get_model_name(&self) -> &Option<String>

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. If you try to create a new custom language model with the same name as an existing custom language model, you get a ConflictException error.

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

Contains the Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location.

When using InputDataConfig, you must include these sub-parameters: S3Uri, which is the Amazon S3 location of your training data, and DataAccessRoleArn, which is the Amazon Resource Name (ARN) of the role that has permission to access your specified Amazon S3 location. You can optionally include TuningDataS3Uri, which is the Amazon S3 location of your tuning data. If you specify different Amazon S3 locations for training and tuning data, the ARN you use must have permissions to access both locations.

This field is required.

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

Contains the Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location.

When using InputDataConfig, you must include these sub-parameters: S3Uri, which is the Amazon S3 location of your training data, and DataAccessRoleArn, which is the Amazon Resource Name (ARN) of the role that has permission to access your specified Amazon S3 location. You can optionally include TuningDataS3Uri, which is the Amazon S3 location of your tuning data. If you specify different Amazon S3 locations for training and tuning data, the ARN you use must have permissions to access both locations.

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

Contains the Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location.

When using InputDataConfig, you must include these sub-parameters: S3Uri, which is the Amazon S3 location of your training data, and DataAccessRoleArn, which is the Amazon Resource Name (ARN) of the role that has permission to access your specified Amazon S3 location. You can optionally include TuningDataS3Uri, which is the Amazon S3 location of your tuning data. If you specify different Amazon S3 locations for training and tuning data, the ARN you use must have permissions to access both locations.

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

Appends an item to tags.

To override the contents of this collection use set_tags.

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

To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

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

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

To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

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pub fn get_tags(&self) -> &Option<Vec<Tag>>

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

To learn more about using tags with Amazon Transcribe, refer to Tagging resources.

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pub fn build(self) -> Result<CreateLanguageModelInput, BuildError>

Consumes the builder and constructs a CreateLanguageModelInput.

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impl CreateLanguageModelInputBuilder

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pub async fn send_with( self, client: &Client, ) -> Result<CreateLanguageModelOutput, SdkError<CreateLanguageModelError, HttpResponse>>

Sends a request with this input using the given client.

Trait Implementations§

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impl Clone for CreateLanguageModelInputBuilder

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fn clone(&self) -> CreateLanguageModelInputBuilder

Returns a duplicate of the value. Read more

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

Performs copy-assignment from source. Read more

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impl Debug for CreateLanguageModelInputBuilder

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

Formats the value using the given formatter. Read more

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impl Default for CreateLanguageModelInputBuilder

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fn default() -> CreateLanguageModelInputBuilder

Returns the “default value” for a type. Read more

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impl PartialEq for CreateLanguageModelInputBuilder

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

Tests for self and other values to be equal, and is used by ==.

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

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

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impl StructuralPartialEq for CreateLanguageModelInputBuilder

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impl UnwindSafe for CreateLanguageModelInputBuilder

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Struct CreateLanguageModelInputBuilderCopy item path

Implementations§

impl CreateLanguageModelInputBuilder

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

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

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

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

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

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

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

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

pub fn get_model_name(&self) -> &Option<String>

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

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

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

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

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

pub fn get_tags(&self) -> &Option<Vec<Tag>>

pub fn build(self) -> Result<CreateLanguageModelInput, BuildError>

impl CreateLanguageModelInputBuilder

pub async fn send_with( self, client: &Client, ) -> Result<CreateLanguageModelOutput, SdkError<CreateLanguageModelError, HttpResponse>>

Trait Implementations§

impl Clone for CreateLanguageModelInputBuilder

fn clone(&self) -> CreateLanguageModelInputBuilder

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

impl Debug for CreateLanguageModelInputBuilder

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

impl Default for CreateLanguageModelInputBuilder

fn default() -> CreateLanguageModelInputBuilder

impl PartialEq for CreateLanguageModelInputBuilder

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

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

impl StructuralPartialEq for CreateLanguageModelInputBuilder

Auto Trait Implementations§

impl Freeze for CreateLanguageModelInputBuilder

impl RefUnwindSafe for CreateLanguageModelInputBuilder

impl Send for CreateLanguageModelInputBuilder

impl Sync for CreateLanguageModelInputBuilder

impl Unpin for CreateLanguageModelInputBuilder

impl UnwindSafe for CreateLanguageModelInputBuilder

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fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>where F: FnOnce(&Self) -> bool,

impl<Unshared, Shared> IntoShared<Shared> for Unsharedwhere Shared: FromUnshared<Unshared>,

fn into_shared(self) -> Shared

impl<T> Paint for Twhere T: ?Sized,

fn fg(&self, value: Color) -> Painted<&T>

§Example

fn primary(&self) -> Painted<&T>

§Example

fn fixed(&self, color: u8) -> Painted<&T>

§Example

fn rgb(&self, r: u8, g: u8, b: u8) -> Painted<&T>

§Example

fn black(&self) -> Painted<&T>

§Example

fn red(&self) -> Painted<&T>

§Example

fn green(&self) -> Painted<&T>

§Example

fn yellow(&self) -> Painted<&T>

§Example

fn blue(&self) -> Painted<&T>

§Example

Struct CreateLanguageModelInputBuilder

impl<T> Any for T
where T: 'static + ?Sized,

impl<T> Borrow<T> for T
where T: ?Sized,

impl<T> BorrowMut<T> for T
where T: ?Sized,

impl<T> CloneToUninit for T
where T: Clone,

impl<T, U> Into<U> for T
where U: From<T>,

fn into_either_with<F>(self, into_left: F) -> Either<Self, Self>
where F: FnOnce(&Self) -> bool,

impl<Unshared, Shared> IntoShared<Shared> for Unshared
where Shared: FromUnshared<Unshared>,

impl<T> Paint for T
where T: ?Sized,