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Fatimaa75
/
whisper-base-bahraini

Automatic Speech Recognition
Transformers
ONNX
Arabic
English
whisper
asr
bahraini-arabic
code-switching
fine-tuned
Model card Files Files and versions
xet
Community

Instructions to use Fatimaa75/whisper-base-bahraini with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Fatimaa75/whisper-base-bahraini with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Fatimaa75/whisper-base-bahraini")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Fatimaa75/whisper-base-bahraini")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Fatimaa75/whisper-base-bahraini")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-base-bahraini
802 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 28 commits
Fatimaa75's picture
Fatimaa75
Upload generation_config.json with huggingface_hub
b602f1c verified about 1 month ago
  • onnx
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  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    4 kB
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  • added_tokens.json
    34.6 kB
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  • config.json
    1.22 kB
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  • generation_config.json
    4.41 kB
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  • merges.txt
    494 kB
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  • normalizer.json
    52.7 kB
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  • ort_config.json
    763 Bytes
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  • preprocessor_config.json
    315 Bytes
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  • special_tokens_map.json
    2.19 kB
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  • tokenizer.json
    3.93 MB
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  • tokenizer_config.json
    2.1 kB
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  • vocab.json
    836 kB
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