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distil-whisper
/
distil-large-v3.5

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
English
whisper
audio
Eval Results
Model card Files Files and versions
xet
Metrics Training metrics Community
10

Instructions to use distil-whisper/distil-large-v3.5 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use distil-whisper/distil-large-v3.5 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="distil-whisper/distil-large-v3.5")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("distil-whisper/distil-large-v3.5")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("distil-whisper/distil-large-v3.5", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
distil-large-v3.5
3.04 GB
Ctrl+K
Ctrl+K
  • 5 contributors
History: 5 commits
bofenghuang's picture
bofenghuang
Delete average of last 10 checkpoints
8592ee1 verified over 1 year ago
  • hf-whisper-distil-multi-v0.2
    Add v0.1 almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • .gitignore
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  • added_tokens.json
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  • config.json
    1.25 kB
    update-config (#1) over 1 year ago
  • generation_config.json
    4.25 kB
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  • merges.txt
    494 kB
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  • model.safetensors
    3.03 GB
    xet
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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
    2.48 MB
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  • tokenizer_config.json
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  • vocab.json
    836 kB
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