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Danieljava
/
whisper-small-finetuned-asr

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

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

  • Libraries
  • Transformers

    How to use Danieljava/whisper-small-finetuned-asr with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="Danieljava/whisper-small-finetuned-asr")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("Danieljava/whisper-small-finetuned-asr")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("Danieljava/whisper-small-finetuned-asr")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-small-finetuned-asr / runs
81.3 kB
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  • 1 contributor
History: 11 commits
Danieljava's picture
Danieljava
Training in progress, step 1000
b0d29dd verified 3 months ago
  • Feb27_12-37-59_214c86a8c657
    Training in progress, step 500 3 months ago
  • Feb27_15-31-01_17db200478bc
    Training in progress, step 3000 3 months ago
  • Feb27_21-03-06_e0e022a0c8c0
    Training in progress, step 500 3 months ago
  • Feb27_21-06-37_e0e022a0c8c0
    Training in progress, step 500 3 months ago
  • Feb27_21-12-04_e0e022a0c8c0
    Training in progress, step 1000 3 months ago
  • Mar03_09-43-16_f606be61dfea
    Training in progress, step 1000 3 months ago