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dungca
/
whisper-tiny-ja-lora

Automatic Speech Recognition
Transformers
Safetensors
PEFT
Japanese
whisper
japanese
asr
speech-recognition
lora
fine-tuned
Model card Files Files and versions
xet
Community

Instructions to use dungca/whisper-tiny-ja-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use dungca/whisper-tiny-ja-lora with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="dungca/whisper-tiny-ja-lora")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("dungca/whisper-tiny-ja-lora", dtype="auto")
  • PEFT

    How to use dungca/whisper-tiny-ja-lora with PEFT:

    Task type is invalid.
  • Notebooks
  • Google Colab
  • Kaggle
whisper-tiny-ja-lora
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  • 1 contributor
History: 8 commits
dungca's picture
dungca
Update README.md
0b439da verified 2 months ago
  • .gitattributes
    1.52 kB
    initial commit 2 months ago
  • README.md
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  • adapter_config.json
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  • adapter_model.safetensors
    1.19 MB
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  • all_results.json
    398 Bytes
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  • eval_results.json
    213 Bytes
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  • preprocessor_config.json
    315 Bytes
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  • processor_config.json
    409 Bytes
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  • tokenizer.json
    3.93 MB
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  • tokenizer_config.json
    2.09 kB
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  • train_results.json
    220 Bytes
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  • training_args.bin
    5.39 kB
    xet
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