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zahrakh98
/
check_points

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

Instructions to use zahrakh98/check_points with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zahrakh98/check_points with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="zahrakh98/check_points")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("zahrakh98/check_points")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("zahrakh98/check_points", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
check_points / runs
39.4 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
zahrakh98's picture
zahrakh98
Training in progress, step 600
187e5b2 over 2 years ago
  • Dec07_18-32-33_1a6806d8ed82
    End of training over 2 years ago
  • Dec07_22-34-54_3472514bf288
    End of training over 2 years ago
  • Dec09_00-26-18_3b000988c6e0
    Training in progress, step 400 over 2 years ago
  • Dec10_02-10-23_f619a28aa881
    Training in progress, step 600 over 2 years ago