 Example   As this a standard sequence to sequence transformer model, you can use the `generate` method to generate the transcripts by passing the speech features to the model.  You can use the model directly via the ASR pipeline. By default, the checkpoint will  translate spoken English to written German. To change the written target language,  you need to pass the correct `forced_bos_token_id` to `generate(...)` to condition  the decoder on the correct target language.   To select the correct `forced_bos_token_id` given your choosen language id, please make use  of the following mapping:  ```python MAPPING = {     "de": 250003,     "tr": 250023,     "fa": 250029,     "sv": 250042,     "mn": 250037,     "zh": 250025,     "cy": 250007,     "ca": 250005,     "sl": 250052,     "et": 250006,     "id": 250032,     "ar": 250001,     "ta": 250044,     "lv": 250017,     "ja": 250012, } ```  As an example, if you would like to translate to Swedish, you can do the following:  ```python from datasets import load_dataset from transformers import pipeline  