mirror of
https://github.com/modelscope/FunASR
synced 2025-09-15 14:48:36 +08:00
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* update * update * update * update onnx * update with main (#1492) * contextual&seaco ONNX export (#1481) * contextual&seaco ONNX export * update ContextualEmbedderExport2 * update ContextualEmbedderExport2 * update code * onnx (#1482) * qwenaudio qwenaudiochat * qwenaudio qwenaudiochat * whisper * whisper * llm * llm * llm * llm * llm * llm * llm * llm * export onnx * export onnx * export onnx * dingding * dingding * llm * doc * onnx * onnx * onnx * onnx * onnx * onnx * v1.0.15 * qwenaudio * qwenaudio * issue doc * update * update * bugfix * onnx * update export calling * update codes * remove useless code * update code --------- Co-authored-by: zhifu gao <zhifu.gzf@alibaba-inc.com> * acknowledge --------- Co-authored-by: Shi Xian <40013335+R1ckShi@users.noreply.github.com> * update onnx * update onnx * train update * train update * train update * train update --------- Co-authored-by: Shi Xian <40013335+R1ckShi@users.noreply.github.com>
21 lines
761 B
Python
21 lines
761 B
Python
#!/usr/bin/env python3
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# -*- encoding: utf-8 -*-
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# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
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# MIT License (https://opensource.org/licenses/MIT)
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# To install requirements: pip3 install -U openai-whisper
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from funasr import AutoModel
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# model = AutoModel(model="Whisper-small", hub="openai")
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# model = AutoModel(model="Whisper-medium", hub="openai")
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# model = AutoModel(model="Whisper-large-v2", hub="openai")
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model = AutoModel(model="Whisper-large-v3", hub="openai", vad_model="iic/speech_fsmn_vad_zh-cn-16k-common-pytorch",)
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res = model.generate(
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language=None,
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task="transcribe",
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batch_size_s=0,
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input="https://isv-data.oss-cn-hangzhou.aliyuncs.com/ics/MaaS/ASR/test_audio/asr_example_zh.wav")
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print(res)
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