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vrclc
/
Malasar_small_DTF

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 vrclc/Malasar_small_DTF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vrclc/Malasar_small_DTF with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="vrclc/Malasar_small_DTF")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("vrclc/Malasar_small_DTF")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("vrclc/Malasar_small_DTF")
  • Notebooks
  • Google Colab
  • Kaggle
Malasar_small_DTF / runs
62.4 kB
Ctrl+K
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  • 2 contributors
History: 8 commits
leenag's picture
leenag
Training in progress, step 2000
b4f0ad0 verified almost 2 years ago
  • Jun10_14-28-50_kudsit-dgxserver
    Training in progress, step 500 almost 2 years ago
  • Jun10_17-44-21_kudsit-dgxserver
    Training in progress, step 2000 almost 2 years ago
  • Jun12_11-34-14_kudsit-dgxserver
    Training in progress, step 2000 almost 2 years ago