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kmrabby
/
crisp

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

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

  • Libraries
  • Transformers

    How to use kmrabby/crisp with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="kmrabby/crisp")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("kmrabby/crisp")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("kmrabby/crisp")
  • Notebooks
  • Google Colab
  • Kaggle
crisp
3.22 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 14 commits
kmrabby's picture
kmrabby
fix
d3c8f11 over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    15.8 kB
    update over 1 year ago
  • added_tokens.json
    34.6 kB
    update over 1 year ago
  • all_results.json
    200 Bytes
    update over 1 year ago
  • config.json
    1.3 kB
    update over 1 year ago
  • generation_config.json
    51.3 kB
    fix over 1 year ago
  • merges.txt
    366 kB
    update over 1 year ago
  • model.safetensors
    3.22 GB
    xet
    update over 1 year ago
  • normalizer.json
    52.7 kB
    update over 1 year ago
  • preprocessor_config.json
    340 Bytes
    update over 1 year ago
  • special_tokens_map.json
    2.19 kB
    update over 1 year ago
  • tokenizer_config.json
    284 kB
    update over 1 year ago
  • train_results.json
    200 Bytes
    update over 1 year ago
  • trainer_state.json
    16.1 kB
    update over 1 year ago
  • training_args.bin
    26.6 kB
    xet
    update over 1 year ago
  • transcribe.py
    1.62 kB
    update over 1 year ago
  • utils.py
    1.09 kB
    update over 1 year ago
  • vocab.json
    878 kB
    update over 1 year ago