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kavyamanohar
/
Malasar_Luke

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
Malasar
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

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

  • Libraries
  • Transformers

    How to use kavyamanohar/Malasar_Luke with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="kavyamanohar/Malasar_Luke")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("kavyamanohar/Malasar_Luke")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("kavyamanohar/Malasar_Luke", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Malasar_Luke / runs
77.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 5 commits
kavyamanohar's picture
kavyamanohar
Training in progress, step 2000
fdf2f06 almost 3 years ago
  • Dec28_15-02-00_kudsit-dgxserver
    Training in progress, step 2000 almost 3 years ago
  • Oct14_16-24-08_kudsit-dgxserver
    Upload runs folder almost 3 years ago
  • Oct25_14-04-19_kudsit-dgxserver
    Training in progress, step 500 almost 3 years ago