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latif98
/
whisper-small-dari

Automatic Speech Recognition
Transformers
TensorBoard
Safetensors
whisper
Generated from Trainer
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use latif98/whisper-small-dari with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use latif98/whisper-small-dari with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="latif98/whisper-small-dari")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("latif98/whisper-small-dari")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("latif98/whisper-small-dari", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-dari
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  • 1 contributor
History: 12 commits
latif98's picture
latif98
End of training
18423c3 verified 17 days ago
  • runs
    End of training 17 days ago
  • .gitattributes
    1.52 kB
    initial commit 17 days ago
  • README.md
    2.43 kB
    End of training 17 days ago
  • config.json
    2.19 kB
    Training in progress, epoch 1 17 days ago
  • generation_config.json
    4.59 kB
    Training in progress, epoch 1 17 days ago
  • model.safetensors
    967 MB
    xet
    End of training 17 days ago
  • processor_config.json
    409 Bytes
    Training in progress, epoch 1 17 days ago
  • tokenizer.json
    3.93 MB
    Training in progress, epoch 1 17 days ago
  • tokenizer_config.json
    2.13 kB
    Training in progress, epoch 1 17 days ago
  • training_args.bin
    5.39 kB
    xet
    Training in progress, epoch 1 17 days ago