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Manhph2211
/
CP-PPG

Feature Extraction
Transformers
Safetensors
cpppg
ppg
signal-processing
biosignal
1d-unet
waveform-reconstruction
custom_code
Model card Files Files and versions
xet
Community

Instructions to use Manhph2211/CP-PPG with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Manhph2211/CP-PPG with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Manhph2211/CP-PPG", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Manhph2211/CP-PPG", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle

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Preview of files found in this repository
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • LICENSE
    19.3 kB
    . about 2 months ago
  • README.md
    3.51 kB
    . 22 days ago
  • config.json
    492 Bytes
    Register CPPPGPipeline as custom feature-extraction pipeline about 2 months ago
  • configuration_cpppg.py
    874 Bytes
    Update configuration_cpppg.py about 2 months ago
  • model.safetensors
    4.51 MB
    xet
    Add CP-PPG Generator with HF PreTrainedModel wrapper about 2 months ago
  • modeling_cpppg.py
    9.87 kB
    . 22 days ago
  • pipeline_cpppg.py
    2.42 kB
    Add CPPPGPipeline for signal reconstruction + embedding about 2 months ago