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RaivisDejus
/
whisper-tiny-lv-ct2

Automatic Speech Recognition
Transformers
Latvian
Whisper
CTranslate2
Model card Files Files and versions
xet
Community

Instructions to use RaivisDejus/whisper-tiny-lv-ct2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use RaivisDejus/whisper-tiny-lv-ct2 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="RaivisDejus/whisper-tiny-lv-ct2")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("RaivisDejus/whisper-tiny-lv-ct2", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-lv-ct2
Ctrl+K
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  • 2 contributors
History: 6 commits
Raivis Dejus
Adding note on model merge
ea91dcd about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    524 Bytes
    Adding note on model merge about 2 years ago
  • config.json
    2.25 kB
    Adding initial model version about 2 years ago
  • model.bin
    75.5 MB
    xet
    Adding improved model about 2 years ago
  • preprocessor_config.json
    339 Bytes
    Adding initial model version about 2 years ago
  • tokenizer.json
    2.48 MB
    Adding initial model version about 2 years ago
  • vocabulary.json
    1.07 MB
    Adding initial model version about 2 years ago