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ihanif
/
whisper-medium-ps

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

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

  • Libraries
  • Transformers

    How to use ihanif/whisper-medium-ps with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="ihanif/whisper-medium-ps")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("ihanif/whisper-medium-ps")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("ihanif/whisper-medium-ps", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
whisper-medium-ps / checkpoint-100
9.17 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 1 commit
ihanif's picture
ihanif
feat: add all check points and runs
39152b5 over 3 years ago
  • config.json
    1.01 kB
    feat: add all check points and runs over 3 years ago
  • optimizer.pt
    6.11 GB
    xet
    feat: add all check points and runs over 3 years ago
  • preprocessor_config.json
    185 kB
    feat: add all check points and runs over 3 years ago
  • pytorch_model.bin
    3.06 GB
    xet
    feat: add all check points and runs over 3 years ago
  • rng_state.pth
    14.6 kB
    xet
    feat: add all check points and runs over 3 years ago
  • scaler.pt
    557 Bytes
    xet
    feat: add all check points and runs over 3 years ago
  • scheduler.pt
    627 Bytes
    xet
    feat: add all check points and runs over 3 years ago
  • trainer_state.json
    2.94 kB
    feat: add all check points and runs over 3 years ago
  • training_args.bin
    3.52 kB
    xet
    feat: add all check points and runs over 3 years ago