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adalat-ai
/
whisper-medium-ml-rmft

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
Malayalam
whisper
malayalam
indic-asr
fine-tuned
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use adalat-ai/whisper-medium-ml-rmft with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use adalat-ai/whisper-medium-ml-rmft with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="adalat-ai/whisper-medium-ml-rmft")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("adalat-ai/whisper-medium-ml-rmft")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("adalat-ai/whisper-medium-ml-rmft")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-medium-ml-rmft / runs
Ctrl+K
Ctrl+K
  • 3 contributors
History: 1 commit
Kush0610's picture
Kush0610
Upload whisper-medium-reverse-ml-mft-1-1-1 model
a793bac verified 5 months ago
  • Dec19_09-36-51_n-0f7499ae-6a9e-414d-becc-cc372b1601fc-0
    Upload whisper-medium-reverse-ml-mft-1-1-1 model 5 months ago