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LocalDoc
/
azerbaijani-whisper-small

Automatic Speech Recognition
Transformers
Safetensors
Azerbaijani
whisper
azerbaijani
asr
speech
fine-tuned
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use LocalDoc/azerbaijani-whisper-small with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="LocalDoc/azerbaijani-whisper-small")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("LocalDoc/azerbaijani-whisper-small")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("LocalDoc/azerbaijani-whisper-small")
  • Notebooks
  • Google Colab
  • Kaggle
azerbaijani-whisper-small
971 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
vrashad's picture
vrashad
Update README.md
88c9efd verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    3.23 kB
    Update README.md about 2 months ago
  • config.json
    1.3 kB
    Upload WhisperForConditionalGeneration about 2 months ago
  • generation_config.json
    3.86 kB
    Upload WhisperForConditionalGeneration about 2 months ago
  • model.safetensors
    967 MB
    xet
    Upload WhisperForConditionalGeneration about 2 months ago
  • processor_config.json
    409 Bytes
    Upload processor about 2 months ago
  • tokenizer.json
    3.93 MB
    Upload processor about 2 months ago
  • tokenizer_config.json
    2.08 kB
    Upload processor about 2 months ago