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devkya
/
custom-peft-whiper-small-ko

Automatic Speech Recognition
Transformers
PyTorch
whisper
Model card Files Files and versions
xet
Community
1

Instructions to use devkya/custom-peft-whiper-small-ko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use devkya/custom-peft-whiper-small-ko with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="devkya/custom-peft-whiper-small-ko")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("devkya/custom-peft-whiper-small-ko")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("devkya/custom-peft-whiper-small-ko")
  • Notebooks
  • Google Colab
  • Kaggle
custom-peft-whiper-small-ko
979 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
devkya's picture
devkya
Upload WhisperForConditionalGeneration
e3a2dcf verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.17 kB
    Upload model about 2 years ago
  • adapter_config.json
    796 Bytes
    Upload model about 2 years ago
  • adapter_model.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    9.47 MB
    xet
    Upload model about 2 years ago
  • config.json
    1.33 kB
    Upload WhisperForConditionalGeneration about 2 years ago
  • generation_config.json
    283 Bytes
    Upload WhisperForConditionalGeneration about 2 years ago
  • preprocessor_config.json
    339 Bytes
    Upload preprocessor_config.json about 2 years ago
  • pytorch_model.bin
    967 MB
    xet
    Upload WhisperForConditionalGeneration about 2 years ago
  • tokenizer.json
    2.48 MB
    Upload tokenizer.json about 2 years ago