async generate({
        inputs = null,
        generation_config = null,
        logits_processor = null,
        stopping_criteria = null,

        // Whisper-specific options (passed to kwargs)
        // prompt_ids = null,
        // language = null,
        // task = null,

        ...kwargs
    }) {
        generation_config = this._prepare_generation_config(generation_config, kwargs);

        const init_tokens = kwargs.decoder_input_ids ?? this._retrieve_init_tokens(generation_config);

        if (generation_config.return_timestamps) {
            logits_processor ??= new LogitsProcessorList();
            logits_processor.push(
                new WhisperTimeStampLogitsProcessor(generation_config, init_tokens)
            );
        }

        if (generation_config.begin_suppress_tokens) {
            logits_processor ??= new LogitsProcessorList();
            logits_processor.push(
                new SuppressTokensAtBeginLogitsProcessor(generation_config.begin_suppress_tokens, init_tokens.length)
            );
        }

        if (generation_config.return_token_timestamps) {
            if (!generation_config.alignment_heads) {
                throw new Error(
                    "Model generation config has no `alignment_heads`, token-level timestamps not available. " +
                    "See https://gist.github.com/hollance/42e32852f24243b748ae6bc1f985b13a on how to add this property to the generation config."
                )
            }

            if (generation_config.task === 'translate') {
                console.warn("Token-level timestamps may not be reliable for task 'translate'.")
            }

            generation_config.output_attentions = true;
            generation_config.return_dict_in_generate = true;
        }

        const outputs = await super.generate({
            inputs,
            generation_config,
            logits_processor,
            decoder_input_ids: init_tokens,
            ...kwargs
        });

        if (generation_config.return_token_timestamps) {
            outputs["token_timestamps"] = this._extract_token_timestamps(
                // @ts-expect-error TS2345
                outputs,
                generation_config.alignment_heads,
                generation_config.num_frames,
            );
        }

        return outputs;
    }
Transcribes or translates log-mel input features to a sequence of auto-regressively generated token ids.
@param {import('./models/whisper/generation_whisper.js').WhisperGenerationFunctionParameters} options
@returns {Promise<ModelOutput|Tensor>} The output of the model, which can contain the generated token ids, attentions, and scores.