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vtlustos
/
whisper-large-v2_lora_int8

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use vtlustos/whisper-large-v2_lora_int8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vtlustos/whisper-large-v2_lora_int8 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="vtlustos/whisper-large-v2_lora_int8")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("vtlustos/whisper-large-v2_lora_int8")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("vtlustos/whisper-large-v2_lora_int8", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-large-v2_lora_int8 / runs
43.5 kB
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  • 1 contributor
History: 1 commit
vtlustos's picture
vtlustos
End of training
6840ef3 about 3 years ago
  • May12_11-49-28_galdor3.metacentrum.cz
    End of training about 3 years ago
  • May12_11-51-14_galdor3.metacentrum.cz
    End of training about 3 years ago
  • May12_11-52-47_galdor3.metacentrum.cz
    End of training about 3 years ago