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unsloth
/
CrisperWhisper

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

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

  • Libraries
  • Transformers

    How to use unsloth/CrisperWhisper with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="unsloth/CrisperWhisper")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("unsloth/CrisperWhisper")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("unsloth/CrisperWhisper")
  • Notebooks
  • Google Colab
  • Kaggle
CrisperWhisper
3.09 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 4 commits
shimmyshimmer's picture
shimmyshimmer
Update README.md
4507962 verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    18.7 kB
    Update README.md about 1 year ago
  • added_tokens.json
    34.6 kB
    Upload processor about 1 year ago
  • config.json
    1.2 kB
    Upload WhisperForConditionalGeneration about 1 year ago
  • generation_config.json
    76.1 kB
    Upload WhisperForConditionalGeneration about 1 year ago
  • merges.txt
    366 kB
    Upload processor about 1 year ago
  • model.safetensors
    3.09 GB
    xet
    Upload WhisperForConditionalGeneration about 1 year ago
  • normalizer.json
    52.7 kB
    Upload processor about 1 year ago
  • preprocessor_config.json
    357 Bytes
    Upload processor about 1 year ago
  • special_tokens_map.json
    2.19 kB
    Upload processor about 1 year ago
  • tokenizer_config.json
    284 kB
    Upload processor about 1 year ago
  • vocab.json
    878 kB
    Upload processor about 1 year ago