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danial1245
/
whisper-model

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

Instructions to use danial1245/whisper-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use danial1245/whisper-model with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="danial1245/whisper-model")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("danial1245/whisper-model")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("danial1245/whisper-model", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-model
971 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
danial1245's picture
danial1245
End of training
c7e8c53 verified 3 months ago
  • runs
    Training in progress, step 300 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    1.53 kB
    End of training 3 months ago
  • config.json
    2.19 kB
    Training in progress, step 100 3 months ago
  • generation_config.json
    4.61 kB
    Training in progress, step 100 3 months ago
  • model.safetensors
    967 MB
    xet
    End of training 3 months ago
  • processor_config.json
    409 Bytes
    Training in progress, step 100 3 months ago
  • tokenizer.json
    3.93 MB
    Training in progress, step 100 3 months ago
  • tokenizer_config.json
    2.13 kB
    Training in progress, step 100 3 months ago
  • training_args.bin
    5.39 kB
    xet
    Training in progress, step 400 3 months ago