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RRashmini
/
whisper-small-sinhala-13

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

Instructions to use RRashmini/whisper-small-sinhala-13 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RRashmini/whisper-small-sinhala-13 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="RRashmini/whisper-small-sinhala-13")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("RRashmini/whisper-small-sinhala-13")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("RRashmini/whisper-small-sinhala-13")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-sinhala-13
967 MB
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  • 1 contributor
History: 2 commits
RRashmini's picture
RRashmini
Upload WhisperForConditionalGeneration
e536e52 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    5.17 kB
    Upload WhisperForConditionalGeneration over 1 year ago
  • config.json
    1.39 kB
    Upload WhisperForConditionalGeneration over 1 year ago
  • generation_config.json
    3.84 kB
    Upload WhisperForConditionalGeneration over 1 year ago
  • model.safetensors
    967 MB
    xet
    Upload WhisperForConditionalGeneration over 1 year ago