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vsro200
/
whisper-small-vsro200

Automatic Speech Recognition
Transformers
Safetensors
Romanian
whisper
Generated from Trainer
speech-recognition
romanian
noisy-speech
avsr
audio-visual-speech-recognition
Model card Files Files and versions
xet
Community

Instructions to use vsro200/whisper-small-vsro200 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vsro200/whisper-small-vsro200 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="vsro200/whisper-small-vsro200")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("vsro200/whisper-small-vsro200")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("vsro200/whisper-small-vsro200")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-vsro200 / last-checkpoint
2.9 GB
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  • 1 contributor
History: 1 commit
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vsro200
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  • config.json
    1.23 kB
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  • generation_config.json
    356 Bytes
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  • model.safetensors
    967 MB
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  • optimizer.pt
    1.93 GB
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  • preprocessor_config.json
    315 Bytes
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  • rng_state.pth
    14.6 kB
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  • scaler.pt
    1.38 kB
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  • scheduler.pt
    1.47 kB
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  • trainer_state.json
    13.7 kB
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  • training_args.bin
    5.39 kB
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