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nyralabs
/
CrisperWhisper

Automatic Speech Recognition
Transformers
Safetensors
German
English
whisper
Eval Results
Model card Files Files and versions
xet
Community
21

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

  • Libraries
  • Transformers

    How to use nyralabs/CrisperWhisper with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="nyralabs/CrisperWhisper")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("nyralabs/CrisperWhisper")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("nyralabs/CrisperWhisper", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
CrisperWhisper
1.55 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 1 commit
Laurin-myreha's picture
Laurin-myreha
initial commit
87cbd25 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    33 Bytes
    initial commit almost 2 years ago