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hlasith
/
whisper-sinhala-small

Automatic Speech Recognition
Transformers
Safetensors
Sinhala
whisper
sinhala
speech-to-text
fine-tuned
openai
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use hlasith/whisper-sinhala-small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="hlasith/whisper-sinhala-small")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("hlasith/whisper-sinhala-small")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("hlasith/whisper-sinhala-small", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-sinhala-small
971 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
hlasith's picture
hlasith
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  • .gitattributes
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  • README.md
    5.33 kB
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  • config.json
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  • generation_config.json
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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
    2.11 kB
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