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MahmoodAnaam
/
MSP-Audio-V0

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

Instructions to use MahmoodAnaam/MSP-Audio-V0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MahmoodAnaam/MSP-Audio-V0 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("automatic-speech-recognition", model="MahmoodAnaam/MSP-Audio-V0", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModelForCTC
    model = AutoModelForCTC.from_pretrained("MahmoodAnaam/MSP-Audio-V0", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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  • last-checkpoint
    Training in progress, step 14660, checkpoint 3 months ago
  • runs
    End of training 3 months ago
  • .gitattributes
    1.52 kB
    initial commit 3 months ago
  • README.md
    3.93 kB
    Update README.md 3 months ago
  • config.json
    2.16 kB
    Training in progress, step 500 3 months ago
  • configuration_msp_audio.py
    3.96 kB
    End of training 3 months ago
  • feature_extraction_msp_audio.py
    2.21 kB
    Training in progress, step 500 3 months ago
  • model.safetensors
    378 MB
    xet
    End of training 3 months ago
  • modeling_msp_audio.py
    8.19 kB
    End of training 3 months ago
  • processing_msp_audio.py
    1.74 kB
    Training in progress, step 500 3 months ago
  • processor_config.json
    559 Bytes
    Training in progress, step 500 3 months ago
  • tokenizer_config.json
    1.43 kB
    Training in progress, step 500 3 months ago
  • training_args.bin
    5.27 kB
    xet
    Training in progress, step 500 3 months ago
  • vocab.json
    358 Bytes
    Training in progress, step 500 3 months ago