MODEL PROFILE

whisper_tflite_models

DocWolle · whisper_tflite_models

"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"]}

Context windowNot disclosed
Input → OutputAudio → Text
Model weightsNot verified
Profile updated2026/11/1 23:47:08
OVERVIEW

Model overview

"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"]}

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

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Frequently asked questions

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Sources & traceability

许可证:mit。模型介绍与第三方评测均以原来源的具体版本和方法为准。