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microsoft
/
VibeVoice-ASR-Streaming-1.5B

Automatic Speech Recognition
Transformers
Safetensors
VibeVoice
ASR
Transcription
Speech-to-Text
Streaming
Model card Files Files and versions
xet
Community

Instructions to use microsoft/VibeVoice-ASR-Streaming-1.5B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use microsoft/VibeVoice-ASR-Streaming-1.5B with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="microsoft/VibeVoice-ASR-Streaming-1.5B")
    # Load model directly
    from transformers import AutoProcessor, VibeVoiceForASRStreamingTraining
    
    processor = AutoProcessor.from_pretrained("microsoft/VibeVoice-ASR-Streaming-1.5B")
    model = VibeVoiceForASRStreamingTraining.from_pretrained("microsoft/VibeVoice-ASR-Streaming-1.5B", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
VibeVoice-ASR-Streaming-1.5B
5.65 GB
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  • 1 contributor
History: 3 commits
frontierai's picture
frontierai
Cite VibeVoice-ASR-Streaming technical report
4262d23 verified about 12 hours ago
  • figures
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  • .gitattributes
    1.74 kB
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  • README.md
    2.24 kB
    Cite VibeVoice-ASR-Streaming technical report about 12 hours ago
  • added_tokens.json
    714 Bytes
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  • config.json
    2.94 kB
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  • merges.txt
    1.67 MB
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  • model-00001-of-00003.safetensors
    2.5 GB
    xet
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  • model-00002-of-00003.safetensors
    2.49 GB
    xet
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  • model-00003-of-00003.safetensors
    643 MB
    xet
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  • model.safetensors.index.json
    120 kB
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  • preprocessor_config.json
    191 Bytes
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  • special_tokens_map.json
    769 Bytes
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  • tokenizer.json
    11.4 MB
    xet
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  • tokenizer_config.json
    9.33 kB
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  • vocab.json
    2.78 MB
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