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Paulwalker4884
/
whisper-persian

Automatic Speech Recognition
Transformers
Safetensors
PEFT
Persian
whisper
speech
persian
farsi
speech-to-text
audio
lora
Model card Files Files and versions
xet
Community
1

Instructions to use Paulwalker4884/whisper-persian with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Paulwalker4884/whisper-persian with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Paulwalker4884/whisper-persian")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Paulwalker4884/whisper-persian")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Paulwalker4884/whisper-persian", device_map="auto")
  • PEFT

    How to use Paulwalker4884/whisper-persian with PEFT:

    Task type is invalid.
  • Notebooks
  • Google Colab
  • Kaggle
whisper-persian
298 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
Paulwalker4884's picture
Paulwalker4884
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80f96e5 verified 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    8.72 kB
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  • adapter_config.json
    1.01 kB
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  • adapter_model.safetensors
    2.37 MB
    xet
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  • added_tokens.json
    36.2 kB
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  • config.json
    1.38 kB
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  • generation_config.json
    4.06 kB
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  • merges.txt
    494 kB
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  • model.safetensors
    290 MB
    xet
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  • normalizer.json
    54.4 kB
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  • preprocessor_config.json
    371 Bytes
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  • special_tokens_map.json
    2.33 kB
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  • tokenizer.json
    3.93 MB
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  • tokenizer_config.json
    296 kB
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  • training_args.bin
    5.78 kB
    xet
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  • vocab.json
    836 kB
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