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istomin9192
/
whisper-small-sr

Automatic Speech Recognition
Transformers
Safetensors
Serbian
whisper
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use istomin9192/whisper-small-sr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use istomin9192/whisper-small-sr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="istomin9192/whisper-small-sr")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("istomin9192/whisper-small-sr")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("istomin9192/whisper-small-sr", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-sr
971 MB
Ctrl+K
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  • 1 contributor
History: 12 commits
istomin9192's picture
istomin9192
Update README.md
1bee0fd verified 5 months ago
  • .eval_results
    Create .eval_results/wer_eval.yml 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 6 months ago
  • README.md
    1.92 kB
    Update README.md 5 months ago
  • config.json
    1.3 kB
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  • generation_config.json
    3.9 kB
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  • model.safetensors
    967 MB
    xet
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  • processor_config.json
    409 Bytes
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  • tokenizer.json
    3.93 MB
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  • tokenizer_config.json
    2.1 kB
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