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primeline
/
whisper-tiny-german

Automatic Speech Recognition
Transformers
ONNX
Safetensors
German
whisper
Model card Files Files and versions
xet
Community
3

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

  • Libraries
  • Transformers

    How to use primeline/whisper-tiny-german with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="primeline/whisper-tiny-german")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("primeline/whisper-tiny-german")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("primeline/whisper-tiny-german")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-german
706 MB
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  • 3 contributors
History: 12 commits
flozi00's picture
flozi00
Update README.md
cb4dd49 verified over 1 year ago
  • onnx
    Adding ONNX file of this model (#1) about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    4.3 kB
    Update README.md over 1 year ago
  • added_tokens.json
    2.11 kB
    Upload 11 files about 2 years ago
  • config.json
    1.32 kB
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  • generation_config.json
    1.26 kB
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  • merges.txt
    494 kB
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  • model.safetensors
    75.5 MB
    xet
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  • normalizer.json
    52.7 kB
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  • preprocessor_config.json
    339 Bytes
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  • special_tokens_map.json
    2.18 kB
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  • tokenizer.json
    2.2 MB
    Upload tokenizer.json (#2) over 1 year ago
  • tokenizer_config.json
    20.5 kB
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  • vocab.json
    1.04 MB
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