aws transcribe create-language-model
Creates a new custom language model. Use Amazon S3 prefixes to provide the location of your input files. The time it takes to create your model depends on the size of your training data
Options
| Name | Description |
|---|---|
--language-code <string> | The language of the input text you're using to train your custom language model |
--base-model-name <string> | 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 kHz 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 kHz, choose Narrowband |
--model-name <string> | The name you choose for your custom language model when you create it |
--input-data-config <structure> | Contains the data access role and the Amazon S3 prefixes to read the required input files to create a custom language model |
--cli-input-json <string> | Performs service operation based on the JSON string provided. The JSON string follows the format provided by ``--generate-cli-skeleton``. If other arguments are provided on the command line, the CLI values will override the JSON-provided values. It is not possible to pass arbitrary binary values using a JSON-provided value as the string will be taken literally |
--generate-cli-skeleton <string> | Prints a JSON skeleton to standard output without sending an API request. If provided with no value or the value ``input``, prints a sample input JSON that can be used as an argument for ``--cli-input-json``. If provided with the value ``output``, it validates the command inputs and returns a sample output JSON for that command |