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README.md
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@@ -5,4 +5,34 @@ pipeline_tag: automatic-speech-recognition
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# Whisper tflite models for use in Whisper app on F-Droid
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"transcribe-translate" models provide signatures for "serving_transcribe" and "serving_translate" to force the model to perform a certain action
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# Whisper tflite models for use in Whisper app on F-Droid
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"transcribe-translate" models provide signatures for "serving_transcribe" and "serving_translate" to force the model to perform a certain action
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```
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@tf.function(
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input_signature=[
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tf.TensorSpec((1, 80, 3000), tf.float32, name="input_features"),
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],
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)
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def transcribe(self, input_features):
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outputs = self.model.generate(
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input_features,
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max_new_tokens=450, # change as needed
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return_dict_in_generate=True,
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forced_decoder_ids=[[2, 50359], [3, 50363]], # forced to transcribe any language with no timestamps
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)
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return {"sequences": outputs["sequences"]}
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@tf.function(
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input_signature=[
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tf.TensorSpec((1, 80, 3000), tf.float32, name="input_features"),
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],
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)
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def translate(self, input_features):
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outputs = self.model.generate(
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input_features,
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max_new_tokens=450, # change as needed
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return_dict_in_generate=True,
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forced_decoder_ids=[[2, 50358], [3, 50363]], # different forced_decoder_ids
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)
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return {"sequences": outputs["sequences"]}
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``
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