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amenIKh
/
best_checkpoint3

Automatic Speech Recognition
Transformers
Safetensors
Arabic
whisper
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet

Instructions to use amenIKh/best_checkpoint3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use amenIKh/best_checkpoint3 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="amenIKh/best_checkpoint3")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("amenIKh/best_checkpoint3")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("amenIKh/best_checkpoint3")
  • Notebooks
  • Google Colab
  • Kaggle

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  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    5.59 kB
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  • added_tokens.json
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  • config.json
    2.28 kB
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  • generation_config.json
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  • merges.txt
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  • model.safetensors
    967 MB
    xet
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  • normalizer.json
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  • preprocessor_config.json
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  • special_tokens_map.json
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  • tokenizer_config.json
    283 kB
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  • vocab.json
    1.04 MB
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