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distil-whisper
/
distil-large-v3

Automatic Speech Recognition
Transformers
JAX
TensorBoard
ONNX
Safetensors
Transformers.js
English
whisper
audio
Eval Results
Model card Files Files and versions
xet
Metrics Training metrics Community
17

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

  • Libraries
  • Transformers

    How to use distil-whisper/distil-large-v3 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")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("distil-whisper/distil-large-v3")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("distil-whisper/distil-large-v3")
  • Transformers.js

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

    // npm i @huggingface/transformers
    import { pipeline } from '@huggingface/transformers';
    
    // Allocate pipeline
    const pipe = await pipeline('automatic-speech-recognition', 'distil-whisper/distil-large-v3');
  • Notebooks
  • Google Colab
  • Kaggle
distil-large-v3
12.5 GB
Ctrl+K
Ctrl+K
  • 6 contributors
History: 13 commits
reach-vb's picture
reach-vb
Update README.md
38967b8 verified almost 2 years ago
  • onnx
    Add model weights and config about 2 years ago
  • runs
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  • .gitattributes
    1.58 kB
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  • README.md
    38 kB
    Update README.md almost 2 years ago
  • added_tokens.json
    34.6 kB
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  • config.json
    1.27 kB
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  • flax_model.msgpack
    3.03 GB
    xet
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  • generation_config.json
    4.25 kB
    Update alignment heads in gen config (#3) about 2 years ago
  • merges.txt
    494 kB
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  • model.fp32.safetensors
    3.03 GB
    xet
    Add model weights and config about 2 years ago
  • model.safetensors
    1.51 GB
    xet
    Add model weights and config about 2 years ago
  • normalizer.json
    52.7 kB
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  • preprocessor_config.json
    340 Bytes
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  • special_tokens_map.json
    2.07 kB
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  • tokenizer.json
    2.48 MB
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  • tokenizer_config.json
    283 kB
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  • vocab.json
    1.04 MB
    Add model weights and config about 2 years ago