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Ogaal-Labs
/
Ogaal-ASR

Automatic Speech Recognition
Transformers
Safetensors
Somali
whisper
speech
somali
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use Ogaal-Labs/Ogaal-ASR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Ogaal-Labs/Ogaal-ASR with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Ogaal-Labs/Ogaal-ASR")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Ogaal-Labs/Ogaal-ASR")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Ogaal-Labs/Ogaal-ASR", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Ogaal-ASR
3.09 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
Ugas's picture
Ugas
Update README
625a786 verified about 1 month ago
  • figures
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  • .gitattributes
    159 Bytes
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  • MODEL_SCOPE.md
    828 Bytes
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  • README.md
    3.49 kB
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  • TECHNICAL_BOOK.md
    2.61 kB
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  • best_val_metrics.json
    298 Bytes
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  • config.json
    1.23 kB
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  • generation_config.json
    4.72 kB
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  • model.safetensors
    3.09 GB
    xet
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  • processor_config.json
    410 Bytes
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  • run_config.json
    1.08 kB
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  • test_metrics.json
    254 Bytes
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  • test_predictions.csv
    90.4 kB
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  • tokenizer.json
    3.93 MB
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  • tokenizer_config.json
    2.08 kB
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