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alexachang
/
csclean-tat

Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use alexachang/csclean-tat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use alexachang/csclean-tat with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="alexachang/csclean-tat")
    # Load model directly
    from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq
    
    processor = AutoProcessor.from_pretrained("alexachang/csclean-tat")
    model = AutoModelForSpeechSeq2Seq.from_pretrained("alexachang/csclean-tat", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
csclean-tat
1.93 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
9370537 verified 12 months ago
  • runs
    alexachang/csclean-tat 12 months ago
  • .gitattributes
    1.52 kB
    initial commit 12 months ago
  • README.md
    1.45 kB
    alexachang/csclean-tat 12 months ago
  • config.json
    1.33 kB
    alexachang/csclean-tat 12 months ago
  • generation_config.json
    3.79 kB
    alexachang/csclean-tat 12 months ago
  • model.safetensors
    967 MB
    xet
    Adding `safetensors` variant of this model 12 months ago
  • preprocessor_config.json
    356 Bytes
    alexachang/csclean-tat 12 months ago
  • pytorch_model.bin
    967 MB
    xet
    alexachang/csclean-tat 12 months ago
  • training_args.bin
    5.43 kB
    xet
    alexachang/csclean-tat 12 months ago