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Wataru
/
sfi_hubert

Feature Extraction
Transformers
Safetensors
sfi_hubert
custom_code
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use Wataru/sfi_hubert with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Wataru/sfi_hubert", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Wataru/sfi_hubert", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
sfi_hubert
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  • 1 contributor
History: 9 commits
Wataru's picture
Wataru
add non_integer stride
ffd825a verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    5.17 kB
    Upload model about 1 year ago
  • config.json
    2.1 kB
    add non_integer stride about 1 year ago
  • configuration.py
    177 Bytes
    Upload model about 1 year ago
  • continuous_filters.py
    24 kB
    add non_integer stride about 1 year ago
  • conv_any_stride.py
    32.8 kB
    add non_integer stride about 1 year ago
  • fir_design.py
    27.8 kB
    Upload model about 1 year ago
  • model.safetensors
    379 MB
    xet
    add non_integer stride about 1 year ago
  • modeling.py
    1.72 kB
    add non_integer stride about 1 year ago
  • rff_filter.py
    5.02 kB
    Upload model about 1 year ago