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computeram
/
badini-w2v-bert

Automatic Speech Recognition
Transformers
Safetensors
Northern Kurdish
wav2vec2-bert
kurdish
badini
kurmanji
low-resource
Model card Files Files and versions
xet
Community

Instructions to use computeram/badini-w2v-bert with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use computeram/badini-w2v-bert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="computeram/badini-w2v-bert")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForCTC
    
    processor = AutoProcessor.from_pretrained("computeram/badini-w2v-bert")
    model = AutoModelForCTC.from_pretrained("computeram/badini-w2v-bert", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
badini-w2v-bert
2.42 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 12 commits
computeram's picture
computeram
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  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • config.json
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  • evaluation_fullpunctv411.csv
    453 kB
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  • model.safetensors
    2.42 GB
    xet
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  • preprocessor_config.json
    229 Bytes
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  • tokenizer_config.json
    1.37 kB
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  • vocab.json
    807 Bytes
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