# This is an example that demonstrates how to configure a model file.
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# You can modify the configuration according to your own requirements.
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# to print the register_table:
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# from funasr.register import tables
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# tables.print()
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# network architecture
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model: WhisperWarp
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model_conf:
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lsm_weight: 0.1
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length_normalized_loss: true
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hub: funasr # openai
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init_param_path: null # large-v2 or large-v3 if hub == "openai"
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# only use for hub == funasr,
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# if hub == openai, whisper_dims is automaticall download
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whisper_dims:
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'n_mels': 80
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'n_vocab': 51865
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'n_audio_ctx': 1500
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'n_audio_state': 1280
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'n_audio_head': 20
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'n_audio_layer': 32
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'n_text_ctx': 448
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'n_text_state': 1280
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'n_text_head': 20
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'n_text_layer': 32
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# frontend related
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frontend: WhisperFrontend
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frontend_conf:
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fs: 16000
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n_mels: 80
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do_pad_trim: true
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tokenizer: WhisperTokenizer
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tokenizer_conf:
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language: null
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task: transcribe
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is_multilingual: true
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num_languages: 99
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scope_map: ['none', "model."]
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