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kadriu
/
imja

Automatic Speech Recognition
Transformers
PyTorch
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use kadriu/imja with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="kadriu/imja")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("kadriu/imja")
    model = AutoModelForCTC.from_pretrained("kadriu/imja", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
imja
1.26 GB
Ctrl+K
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  • 1 contributor
History: 2 commits
kadriu's picture
kadriu
Upload 9 files
cc457f3 almost 3 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    4.48 kB
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  • added_tokens.json
    23 Bytes
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  • config.json
    2.31 kB
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  • preprocessor_config.json
    212 Bytes
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  • pytorch_model.bin
    1.26 GB
    xet
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  • special_tokens_map.json
    502 Bytes
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  • tokenizer_config.json
    301 Bytes
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  • training_args.bin
    2.99 kB
    xet
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  • vocab.json
    270 Bytes
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