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Adarshbaghel
/
Whisper_FT

Automatic Speech Recognition
Transformers
Safetensors
whisper
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Adarshbaghel/Whisper_FT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Adarshbaghel/Whisper_FT")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Adarshbaghel/Whisper_FT")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Adarshbaghel/Whisper_FT", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Whisper_FT
3.09 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
Adarshbaghel's picture
Adarshbaghel
Upload merges.txt
a03488e verified 8 days ago
  • .gitattributes
    1.52 kB
    initial commit 11 days ago
  • README.md
    5.17 kB
    Upload WhisperForConditionalGeneration 11 days ago
  • config.json
    1.25 kB
    Upload 3 files 8 days ago
  • generation_config.json
    3.9 kB
    Upload WhisperForConditionalGeneration 11 days ago
  • merges.txt
    494 kB
    Upload merges.txt 8 days ago
  • model.safetensors
    3.09 GB
    xet
    Upload WhisperForConditionalGeneration 11 days ago
  • preprocessor_config.json
    340 Bytes
    Upload 3 files 8 days ago
  • vocab.json
    1.04 MB
    Upload 3 files 8 days ago