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ppparkker
/
for_test

Automatic Speech Recognition
Transformers
Safetensors
hubert
Generated from Trainer
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use ppparkker/for_test with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ppparkker/for_test", trust_remote_code=True)
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("ppparkker/for_test", trust_remote_code=True)
    model = AutoModelForCTC.from_pretrained("ppparkker/for_test", trust_remote_code=True, device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
for_test
378 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
ppparkker's picture
ppparkker
Model save
4c884ba verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    2.3 kB
    Model save almost 2 years ago
  • config.json
    1.71 kB
    Training in progress, step 1000 almost 2 years ago
  • model.safetensors
    378 MB
    xet
    Training in progress, step 4710 almost 2 years ago
  • preprocessor_config.json
    215 Bytes
    Training in progress, step 20 almost 2 years ago
  • training_args.bin
    5.11 kB
    xet
    Training in progress, step 1000 almost 2 years ago