xiaoyunchong.xyc commited on
Commit
abb99a3
·
1 Parent(s): a7088d6

docs: add hub=hf to code examples, use HF model IDs for vad_model

Browse files
Files changed (2) hide show
  1. README.md +3 -3
  2. README_zh.md +3 -3
README.md CHANGED
@@ -78,8 +78,8 @@ def main():
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  model_dir = "FunAudioLLM/Fun-ASR-Nano-2512"
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  model = AutoModel(
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  model=model_dir,
 
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  trust_remote_code=True,
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- remote_code="./model.py",
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  device="cuda:0",
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  )
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@@ -102,10 +102,10 @@ def main():
102
 
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  model = AutoModel(
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  model=model_dir,
 
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  trust_remote_code=True,
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- vad_model="fsmn-vad",
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  vad_kwargs={"max_single_segment_time": 30000},
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- remote_code="./model.py",
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  device="cuda:0",
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  )
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  res = model.generate(input=[wav_path], cache={}, batch_size=1)
 
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  model_dir = "FunAudioLLM/Fun-ASR-Nano-2512"
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  model = AutoModel(
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  model=model_dir,
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+ hub="hf",
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  trust_remote_code=True,
 
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  device="cuda:0",
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  )
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  model = AutoModel(
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  model=model_dir,
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+ hub="hf",
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  trust_remote_code=True,
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+ vad_model="funasr/fsmn-vad",
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  vad_kwargs={"max_single_segment_time": 30000},
 
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  device="cuda:0",
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  )
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  res = model.generate(input=[wav_path], cache={}, batch_size=1)
README_zh.md CHANGED
@@ -78,8 +78,8 @@ def main():
78
  model_dir = "FunAudioLLM/Fun-ASR-Nano-2512"
79
  model = AutoModel(
80
  model=model_dir,
 
81
  trust_remote_code=True,
82
- remote_code="./model.py",
83
  device="cuda:0",
84
  )
85
 
@@ -102,10 +102,10 @@ def main():
102
 
103
  model = AutoModel(
104
  model=model_dir,
 
105
  trust_remote_code=True,
106
- vad_model="fsmn-vad",
107
  vad_kwargs={"max_single_segment_time": 30000},
108
- remote_code="./model.py",
109
  device="cuda:0",
110
  )
111
  res = model.generate(input=[wav_path], cache={}, batch_size=1)
 
78
  model_dir = "FunAudioLLM/Fun-ASR-Nano-2512"
79
  model = AutoModel(
80
  model=model_dir,
81
+ hub="hf",
82
  trust_remote_code=True,
 
83
  device="cuda:0",
84
  )
85
 
 
102
 
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  model = AutoModel(
104
  model=model_dir,
105
+ hub="hf",
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  trust_remote_code=True,
107
+ vad_model="funasr/fsmn-vad",
108
  vad_kwargs={"max_single_segment_time": 30000},
 
109
  device="cuda:0",
110
  )
111
  res = model.generate(input=[wav_path], cache={}, batch_size=1)