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aksds
/
checkpoint-100

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

Instructions to use aksds/checkpoint-100 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aksds/checkpoint-100 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="aksds/checkpoint-100")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("aksds/checkpoint-100")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("aksds/checkpoint-100")
  • Notebooks
  • Google Colab
  • Kaggle
checkpoint-100 / models--openai--whisper-tiny
310 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
aksds's picture
aksds
Training in progress, step 100
db8c08b verified over 2 years ago
  • blobs
    Training in progress, step 100 over 2 years ago
  • refs
    Training in progress, step 100 over 2 years ago
  • snapshots
    Training in progress, step 100 over 2 years ago