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nrshoudi
/
XLS-R_Jibbali_lang

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use nrshoudi/XLS-R_Jibbali_lang with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use nrshoudi/XLS-R_Jibbali_lang with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="nrshoudi/XLS-R_Jibbali_lang")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("nrshoudi/XLS-R_Jibbali_lang")
    model = AutoModelForCTC.from_pretrained("nrshoudi/XLS-R_Jibbali_lang")
  • Notebooks
  • Google Colab
  • Kaggle
XLS-R_Jibbali_lang
1.26 GB
Ctrl+K
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  • 1 contributor
History: 5 commits
nrshoudi's picture
nrshoudi
End of training
0abbbca verified about 2 years ago
  • runs
    End of training about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.87 kB
    End of training about 2 years ago
  • added_tokens.json
    30 Bytes
    Upload tokenizer about 2 years ago
  • config.json
    2.34 kB
    End of training about 2 years ago
  • model.safetensors
    1.26 GB
    xet
    End of training about 2 years ago
  • preprocessor_config.json
    214 Bytes
    End of training about 2 years ago
  • special_tokens_map.json
    96 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.05 kB
    Upload tokenizer about 2 years ago
  • training_args.bin
    4.6 kB
    xet
    End of training about 2 years ago
  • vocab.json
    454 Bytes
    Upload tokenizer about 2 years ago