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TalTechNLP
/
whisper-large-v3-et-subs

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

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

  • Libraries
  • Transformers

    How to use TalTechNLP/whisper-large-v3-et-subs with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="TalTechNLP/whisper-large-v3-et-subs")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("TalTechNLP/whisper-large-v3-et-subs")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("TalTechNLP/whisper-large-v3-et-subs")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-large-v3-et-subs
6.18 GB
Ctrl+K
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  • 3 contributors
History: 5 commits
artemmm's picture
artemmm
Update README.md
4075833 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    2.65 kB
    Update README.md about 1 year ago
  • added_tokens.json
    34.6 kB
    Upload 13 files over 1 year ago
  • config.json
    1.27 kB
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  • generation_config.json
    3.56 kB
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  • merges.txt
    494 kB
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  • model-00001-of-00002.safetensors
    4.99 GB
    xet
    now produces line breaks in subtitles over 1 year ago
  • model-00002-of-00002.safetensors
    1.18 GB
    xet
    now produces line breaks in subtitles over 1 year ago
  • model.safetensors.index.json
    112 kB
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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
    2.48 MB
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  • tokenizer_config.json
    283 kB
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  • vocab.json
    1.04 MB
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