233 lines
9.6 KiB
C++
233 lines
9.6 KiB
C++
/**
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* Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
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* SPDX-License-Identifier: Apache-2.0.
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*/
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#pragma once
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#include <aws/transcribe/TranscribeService_EXPORTS.h>
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#include <aws/transcribe/TranscribeServiceRequest.h>
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#include <aws/transcribe/model/CLMLanguageCode.h>
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#include <aws/transcribe/model/BaseModelName.h>
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#include <aws/core/utils/memory/stl/AWSString.h>
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#include <aws/transcribe/model/InputDataConfig.h>
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#include <utility>
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namespace Aws
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{
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namespace TranscribeService
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{
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namespace Model
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{
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/**
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*/
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class AWS_TRANSCRIBESERVICE_API CreateLanguageModelRequest : public TranscribeServiceRequest
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{
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public:
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CreateLanguageModelRequest();
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// Service request name is the Operation name which will send this request out,
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// each operation should has unique request name, so that we can get operation's name from this request.
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// Note: this is not true for response, multiple operations may have the same response name,
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// so we can not get operation's name from response.
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inline virtual const char* GetServiceRequestName() const override { return "CreateLanguageModel"; }
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Aws::String SerializePayload() const override;
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Aws::Http::HeaderValueCollection GetRequestSpecificHeaders() const override;
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/**
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* <p>The language of the input text you're using to train your custom language
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* model.</p>
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*/
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inline const CLMLanguageCode& GetLanguageCode() const{ return m_languageCode; }
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/**
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* <p>The language of the input text you're using to train your custom language
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* model.</p>
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*/
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inline bool LanguageCodeHasBeenSet() const { return m_languageCodeHasBeenSet; }
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/**
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* <p>The language of the input text you're using to train your custom language
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* model.</p>
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*/
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inline void SetLanguageCode(const CLMLanguageCode& value) { m_languageCodeHasBeenSet = true; m_languageCode = value; }
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/**
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* <p>The language of the input text you're using to train your custom language
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* model.</p>
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*/
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inline void SetLanguageCode(CLMLanguageCode&& value) { m_languageCodeHasBeenSet = true; m_languageCode = std::move(value); }
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/**
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* <p>The language of the input text you're using to train your custom language
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* model.</p>
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*/
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inline CreateLanguageModelRequest& WithLanguageCode(const CLMLanguageCode& value) { SetLanguageCode(value); return *this;}
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/**
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* <p>The language of the input text you're using to train your custom language
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* model.</p>
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*/
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inline CreateLanguageModelRequest& WithLanguageCode(CLMLanguageCode&& value) { SetLanguageCode(std::move(value)); return *this;}
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/**
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* <p>The Amazon Transcribe standard language model, or base model used to create
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* your custom language model.</p> <p>If you want to use your custom language model
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* to transcribe audio with a sample rate of 16 kHz or greater, choose
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* <code>Wideband</code>.</p> <p>If you want to use your custom language model to
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* transcribe audio with a sample rate that is less than 16 kHz, choose
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* <code>Narrowband</code>.</p>
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*/
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inline const BaseModelName& GetBaseModelName() const{ return m_baseModelName; }
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/**
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* <p>The Amazon Transcribe standard language model, or base model used to create
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* your custom language model.</p> <p>If you want to use your custom language model
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* to transcribe audio with a sample rate of 16 kHz or greater, choose
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* <code>Wideband</code>.</p> <p>If you want to use your custom language model to
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* transcribe audio with a sample rate that is less than 16 kHz, choose
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* <code>Narrowband</code>.</p>
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*/
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inline bool BaseModelNameHasBeenSet() const { return m_baseModelNameHasBeenSet; }
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/**
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* <p>The Amazon Transcribe standard language model, or base model used to create
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* your custom language model.</p> <p>If you want to use your custom language model
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* to transcribe audio with a sample rate of 16 kHz or greater, choose
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* <code>Wideband</code>.</p> <p>If you want to use your custom language model to
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* transcribe audio with a sample rate that is less than 16 kHz, choose
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* <code>Narrowband</code>.</p>
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*/
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inline void SetBaseModelName(const BaseModelName& value) { m_baseModelNameHasBeenSet = true; m_baseModelName = value; }
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/**
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* <p>The Amazon Transcribe standard language model, or base model used to create
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* your custom language model.</p> <p>If you want to use your custom language model
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* to transcribe audio with a sample rate of 16 kHz or greater, choose
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* <code>Wideband</code>.</p> <p>If you want to use your custom language model to
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* transcribe audio with a sample rate that is less than 16 kHz, choose
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* <code>Narrowband</code>.</p>
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*/
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inline void SetBaseModelName(BaseModelName&& value) { m_baseModelNameHasBeenSet = true; m_baseModelName = std::move(value); }
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/**
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* <p>The Amazon Transcribe standard language model, or base model used to create
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* your custom language model.</p> <p>If you want to use your custom language model
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* to transcribe audio with a sample rate of 16 kHz or greater, choose
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* <code>Wideband</code>.</p> <p>If you want to use your custom language model to
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* transcribe audio with a sample rate that is less than 16 kHz, choose
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* <code>Narrowband</code>.</p>
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*/
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inline CreateLanguageModelRequest& WithBaseModelName(const BaseModelName& value) { SetBaseModelName(value); return *this;}
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/**
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* <p>The Amazon Transcribe standard language model, or base model used to create
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* your custom language model.</p> <p>If you want to use your custom language model
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* to transcribe audio with a sample rate of 16 kHz or greater, choose
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* <code>Wideband</code>.</p> <p>If you want to use your custom language model to
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* transcribe audio with a sample rate that is less than 16 kHz, choose
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* <code>Narrowband</code>.</p>
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*/
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inline CreateLanguageModelRequest& WithBaseModelName(BaseModelName&& value) { SetBaseModelName(std::move(value)); return *this;}
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/**
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* <p>The name you choose for your custom language model when you create it.</p>
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*/
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inline const Aws::String& GetModelName() const{ return m_modelName; }
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/**
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* <p>The name you choose for your custom language model when you create it.</p>
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*/
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inline bool ModelNameHasBeenSet() const { return m_modelNameHasBeenSet; }
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/**
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* <p>The name you choose for your custom language model when you create it.</p>
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*/
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inline void SetModelName(const Aws::String& value) { m_modelNameHasBeenSet = true; m_modelName = value; }
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/**
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* <p>The name you choose for your custom language model when you create it.</p>
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*/
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inline void SetModelName(Aws::String&& value) { m_modelNameHasBeenSet = true; m_modelName = std::move(value); }
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/**
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* <p>The name you choose for your custom language model when you create it.</p>
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*/
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inline void SetModelName(const char* value) { m_modelNameHasBeenSet = true; m_modelName.assign(value); }
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/**
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* <p>The name you choose for your custom language model when you create it.</p>
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*/
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inline CreateLanguageModelRequest& WithModelName(const Aws::String& value) { SetModelName(value); return *this;}
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/**
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* <p>The name you choose for your custom language model when you create it.</p>
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*/
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inline CreateLanguageModelRequest& WithModelName(Aws::String&& value) { SetModelName(std::move(value)); return *this;}
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/**
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* <p>The name you choose for your custom language model when you create it.</p>
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*/
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inline CreateLanguageModelRequest& WithModelName(const char* value) { SetModelName(value); return *this;}
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/**
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* <p>Contains the data access role and the Amazon S3 prefixes to read the required
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* input files to create a custom language model.</p>
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*/
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inline const InputDataConfig& GetInputDataConfig() const{ return m_inputDataConfig; }
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/**
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* <p>Contains the data access role and the Amazon S3 prefixes to read the required
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* input files to create a custom language model.</p>
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*/
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inline bool InputDataConfigHasBeenSet() const { return m_inputDataConfigHasBeenSet; }
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/**
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* <p>Contains the data access role and the Amazon S3 prefixes to read the required
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* input files to create a custom language model.</p>
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*/
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inline void SetInputDataConfig(const InputDataConfig& value) { m_inputDataConfigHasBeenSet = true; m_inputDataConfig = value; }
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/**
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* <p>Contains the data access role and the Amazon S3 prefixes to read the required
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* input files to create a custom language model.</p>
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*/
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inline void SetInputDataConfig(InputDataConfig&& value) { m_inputDataConfigHasBeenSet = true; m_inputDataConfig = std::move(value); }
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/**
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* <p>Contains the data access role and the Amazon S3 prefixes to read the required
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* input files to create a custom language model.</p>
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*/
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inline CreateLanguageModelRequest& WithInputDataConfig(const InputDataConfig& value) { SetInputDataConfig(value); return *this;}
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/**
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* <p>Contains the data access role and the Amazon S3 prefixes to read the required
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* input files to create a custom language model.</p>
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*/
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inline CreateLanguageModelRequest& WithInputDataConfig(InputDataConfig&& value) { SetInputDataConfig(std::move(value)); return *this;}
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private:
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CLMLanguageCode m_languageCode;
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bool m_languageCodeHasBeenSet;
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BaseModelName m_baseModelName;
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bool m_baseModelNameHasBeenSet;
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Aws::String m_modelName;
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bool m_modelNameHasBeenSet;
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InputDataConfig m_inputDataConfig;
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bool m_inputDataConfigHasBeenSet;
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};
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} // namespace Model
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} // namespace TranscribeService
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} // namespace Aws
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