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16pramodh
/
ASR_YAP

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

Instructions to use 16pramodh/ASR_YAP with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use 16pramodh/ASR_YAP with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="16pramodh/ASR_YAP")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("16pramodh/ASR_YAP")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("16pramodh/ASR_YAP")
  • Notebooks
  • Google Colab
  • Kaggle
ASR_YAP
967 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
16pramodh's picture
16pramodh
Update README.md
95df29a verified 6 months ago
  • .gitattributes
    1.52 kB
    initial commit 8 months ago
  • README.md
    5.41 kB
    Update README.md 6 months ago
  • config.json
    1.28 kB
    Upload WhisperForConditionalGeneration 8 months ago
  • generation_config.json
    1.93 kB
    Upload WhisperForConditionalGeneration 8 months ago
  • model.safetensors
    967 MB
    xet
    Upload WhisperForConditionalGeneration 8 months ago