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try the latest version
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# Download moda ASR related models
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from modelscope import snapshot_download
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import shutil
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import os
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import time
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from modelscope.hub.snapshot_download import snapshot_download
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def safe_download(model_id, revision='v2.0.4', max_retries=3):
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cache_base = os.path.expanduser(f'~/.cache/modelscope/hub/{model_id.replace("/", "/")}')
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if os.path.exists(cache_base):
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shutil.rmtree(cache_base) # Remove possibly corrupted model cache
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for attempt in range(max_retries):
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try:
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print(f"Attempting download for: {model_id} (Attempt {attempt + 1})")
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model_dir = snapshot_download(model_id, revision=revision)
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print(f"✅ Downloaded {model_id} to {model_dir}")
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return model_dir
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except Exception as e:
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print(f"❌ Failed on attempt {attempt + 1} for {model_id}: {e}")
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time.sleep(5)
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raise RuntimeError(f"❌ All attempts failed for {model_id}")
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# Model downloads
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safe_download('damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch')
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safe_download('damo/speech_fsmn_vad_zh-cn-16k-common-pytorch')
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safe_download('damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch')
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model_dir = snapshot_download('damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch',revision="v2.0.5")
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model_dir = snapshot_download('damo/speech_fsmn_vad_zh-cn-16k-common-pytorch',revision="v2.0.5")
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model_dir = snapshot_download('damo/punc_ct-transformer_zh-cn-common-vocab272727-pytorch',revision="v2.0.5")
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