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Pooya-Fallah
/
whisper-medium-fa

Automatic Speech Recognition
Transformers
Safetensors
Persian
whisper
persian
speech-recognition
Model card Files Files and versions
xet
Community

Instructions to use Pooya-Fallah/whisper-medium-fa with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Pooya-Fallah/whisper-medium-fa with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Pooya-Fallah/whisper-medium-fa")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Pooya-Fallah/whisper-medium-fa")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Pooya-Fallah/whisper-medium-fa", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • .gitattributes
    1.52 kB
    initial commit 25 days ago
  • README.md
    4.45 kB
    Publish medium Whisper export and usage guide 25 days ago
  • config.json
    1.25 kB
    Publish medium Whisper export and usage guide 25 days ago
  • generation_config.json
    4.48 kB
    Publish medium Whisper export and usage guide 25 days ago
  • model.safetensors
    3.06 GB
    xet
    Publish medium Whisper export and usage guide 25 days ago
  • preprocessor_config.json
    315 Bytes
    Publish medium Whisper export and usage guide 25 days ago
  • publication.json
    961 Bytes
    Publish medium Whisper export and usage guide 25 days ago
  • tokenizer.json
    3.93 MB
    Publish medium Whisper export and usage guide 25 days ago
  • tokenizer_config.json
    2.13 kB
    Publish medium Whisper export and usage guide 25 days ago