---
license: mit
pipeline_tag: automatic-speech-recognition
---

# Whisper tflite models for use in Whisper app on F-Droid

"transcribe-translate" models provide signatures for "serving_transcribe" and "serving_translate" to force the model to perform a certain action


    @tf.function(
        input_signature=[
            tf.TensorSpec((1, 80, 3000), tf.float32, name="input_features"),
        ],
    )
    def transcribe(self, input_features):
        outputs = self.model.generate(
            input_features,
            max_new_tokens=450,  # change as needed
            return_dict_in_generate=True,
            forced_decoder_ids=[[2, 50359], [3, 50363]],  # forced to transcribe any language with no timestamps
        )
        return {"sequences": outputs["sequences"]}

    @tf.function(
        input_signature=[
            tf.TensorSpec((1, 80, 3000), tf.float32, name="input_features"),
        ],
    )
    def translate(self, input_features):
        outputs = self.model.generate(
            input_features,
            max_new_tokens=450,  # change as needed
            return_dict_in_generate=True,
            forced_decoder_ids=[[2, 50358], [3, 50363]],  # forced to translate any language with no timestamps
        )
        return {"sequences": outputs["sequences"]}