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cvnberk
/
whisper-tiny-tr

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

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

  • Libraries
  • Transformers

    How to use cvnberk/whisper-tiny-tr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="cvnberk/whisper-tiny-tr")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("cvnberk/whisper-tiny-tr")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("cvnberk/whisper-tiny-tr", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-tr
153 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 78 commits
CK
Training in progress, step 4000
2a34f6b verified over 2 years ago
  • runs
    Training in progress, step 4000 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.5 kB
    Update README.md over 2 years ago
  • added_tokens.json
    34.6 kB
    Upload tokenizer over 2 years ago
  • config.json
    1.31 kB
    Training in progress, step 500 over 2 years ago
  • generation_config.json
    3.79 kB
    End of training over 2 years ago
  • merges.txt
    494 kB
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  • model.safetensors
    151 MB
    xet
    Training in progress, step 4000 over 2 years ago
  • normalizer.json
    52.7 kB
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  • preprocessor_config.json
    339 Bytes
    Training in progress, step 500 over 2 years ago
  • special_tokens_map.json
    2.19 kB
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  • tokenizer_config.json
    283 kB
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  • training_args.bin
    5.05 kB
    xet
    Training in progress, step 1000 over 2 years ago
  • vocab.json
    1.04 MB
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