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CreateLanguageModelResponse

Source code in docs_src/capo_transcribe/types/create_language_model_response.py 
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class CreateLanguageModelResponse(TypedDict, closed=True):
    language_code: NotRequired[
        "capo_transcribe.types.clm_language_code.CLMLanguageCode"
    ]
    """<p>The language code you selected for your custom language model.</p>"""
    base_model_name: NotRequired["capo_transcribe.types.base_model_name.BaseModelName"]
    """<p>The Amazon Transcribe standard language model, or base model, you specified when creating your custom language model.</p>"""
    model_name: NotRequired["capo_transcribe.types.model_name.ModelName"]
    """<p>The name of your custom language model.</p>"""
    input_data_config: NotRequired[
        "capo_transcribe.types.input_data_config.InputDataConfig"
    ]
    """<p>Lists your data access role ARN (Amazon Resource Name) and the Amazon S3 locations you provided for your training (<code>S3Uri</code>) and tuning (<code>TuningDataS3Uri</code>) data.</p>"""
    model_status: NotRequired["capo_transcribe.types.model_status.ModelStatus"]
    """<p>The status of your custom language model. When the status displays as <code>COMPLETED</code>, your model is ready to use.</p>"""

base_model_name instance-attribute 

base_model_name: NotRequired[BaseModelName]

The Amazon Transcribe standard language model, or base model, you specified when creating your custom language model.

input_data_config instance-attribute 

input_data_config: NotRequired[InputDataConfig]

Lists your data access role ARN (Amazon Resource Name) and the Amazon S3 locations you provided for your training (S3Uri) and tuning (TuningDataS3Uri) data.

language_code instance-attribute 

language_code: NotRequired[CLMLanguageCode]

The language code you selected for your custom language model.

model_name instance-attribute 

model_name: NotRequired[ModelName]

The name of your custom language model.

model_status instance-attribute 

model_status: NotRequired[ModelStatus]

The status of your custom language model. When the status displays as COMPLETED, your model is ready to use.