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nahiar
/
whisper-v1

Automatic Speech Recognition
Transformers
Safetensors
whisper
audio
Model card Files Files and versions
xet
Community

Instructions to use nahiar/whisper-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nahiar/whisper-v1 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="nahiar/whisper-v1")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("nahiar/whisper-v1")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("nahiar/whisper-v1")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-v1
1.62 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
nahiar's picture
nahiar
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34d663e verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    21.2 kB
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  • added_tokens.json
    34.6 kB
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  • config.json
    1.26 kB
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  • generation_config.json
    3.77 kB
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  • merges.txt
    494 kB
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  • model.safetensors
    1.62 GB
    xet
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  • normalizer.json
    52.7 kB
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  • preprocessor_config.json
    340 Bytes
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  • special_tokens_map.json
    2.19 kB
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  • tokenizer.json
    2.71 MB
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  • tokenizer_config.json
    283 kB
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  • vocab.json
    1.04 MB
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