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pub struct LanguageModel {
    pub base_model_name: Option<String>,
    pub create_time: Option<f64>,
    pub failure_reason: Option<String>,
    pub input_data_config: Option<InputDataConfig>,
    pub language_code: Option<String>,
    pub last_modified_time: Option<f64>,
    pub model_name: Option<String>,
    pub model_status: Option<String>,
    pub upgrade_availability: Option<bool>,
}
Expand description

The structure used to describe a custom language model.

Fields

base_model_name: Option<String>

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

create_time: Option<f64>

The time the custom language model was created.

failure_reason: Option<String>

The reason why the custom language model couldn't be created.

input_data_config: Option<InputDataConfig>

The data access role and Amazon S3 prefixes for the input files used to train the custom language model.

language_code: Option<String>

The language code you used to create your custom language model.

last_modified_time: Option<f64>

The most recent time the custom language model was modified.

model_name: Option<String>

The name of the custom language model.

model_status: Option<String>

The creation status of a custom language model. When the status is COMPLETED the model is ready for use.

upgrade_availability: Option<bool>

Whether the base model used for the custom language model is up to date. If this field is true then you are running the most up-to-date version of the base model in your custom language model.

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