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waveletdeboshir
/
whisper-tiny-ru-pruned

Automatic Speech Recognition
Transformers
Safetensors
Russian
whisper
asr
Pytorch
pruned
audio
Model card Files Files and versions
xet
Community
1

Instructions to use waveletdeboshir/whisper-tiny-ru-pruned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use waveletdeboshir/whisper-tiny-ru-pruned with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="waveletdeboshir/whisper-tiny-ru-pruned")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("waveletdeboshir/whisper-tiny-ru-pruned")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("waveletdeboshir/whisper-tiny-ru-pruned")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-ru-pruned
86.7 MB
Ctrl+K
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  • 1 contributor
History: 7 commits
waveletdeboshir's picture
waveletdeboshir
Update model and tokenizer
845f485 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    2.45 kB
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  • added_tokens.json
    246 Bytes
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  • config.json
    1.42 kB
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  • generation_config.json
    834 Bytes
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  • merges.txt
    118 kB
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  • model.safetensors
    84.3 MB
    xet
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  • normalizer.json
    52.7 kB
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  • preprocessor_config.json
    185 kB
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  • special_tokens_map.json
    2.19 kB
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  • tokenizer.json
    1.84 MB
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  • tokenizer_config.json
    4.71 kB
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  • vocab.json
    207 kB
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