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Baselhany
/
Whisper_tiny_tring_large_sample_with_early_stop2

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Arabic
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Baselhany/Whisper_tiny_tring_large_sample_with_early_stop2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Baselhany/Whisper_tiny_tring_large_sample_with_early_stop2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Baselhany/Whisper_tiny_tring_large_sample_with_early_stop2")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Baselhany/Whisper_tiny_tring_large_sample_with_early_stop2")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Baselhany/Whisper_tiny_tring_large_sample_with_early_stop2", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Whisper_tiny_tring_large_sample_with_early_stop2 / runs
672 kB
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  • 1 contributor
History: 154 commits
Baselhany's picture
Baselhany
Training finished
ad5f403 verified over 1 year ago
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