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ysdede
/
whisper-base

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

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

  • Libraries
  • Transformers

    How to use ysdede/whisper-base with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ysdede/whisper-base")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("ysdede/whisper-base")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("ysdede/whisper-base")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-base
292 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
ysdede's picture
ysdede
End of training
3d178a9 verified over 1 year ago
  • runs
    Training in progress, step 60000 over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    2.16 kB
    End of training over 1 year ago
  • added_tokens.json
    34.6 kB
    Training in progress, step 5000 over 1 year ago
  • config.json
    1.27 kB
    Training in progress, step 5000 over 1 year ago
  • generation_config.json
    2.96 kB
    Training in progress, step 5000 over 1 year ago
  • merges.txt
    494 kB
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  • model.safetensors
    290 MB
    xet
    Training in progress, step 60000 over 1 year ago
  • normalizer.json
    52.7 kB
    Training in progress, step 5000 over 1 year ago
  • preprocessor_config.json
    339 Bytes
    Training in progress, step 5000 over 1 year ago
  • special_tokens_map.json
    2.19 kB
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  • tokenizer_config.json
    283 kB
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  • training_args.bin
    5.43 kB
    xet
    Training in progress, step 5000 over 1 year ago
  • vocab.json
    1.04 MB
    Training in progress, step 5000 over 1 year ago