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labhamlet
/
gramt-binaural-frame

Feature Extraction
Transformers
Safetensors
gramt-binaural-frame
audio
spatial
speech
custom_code
Model card Files Files and versions
xet
Community

Instructions to use labhamlet/gramt-binaural-frame with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use labhamlet/gramt-binaural-frame with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="labhamlet/gramt-binaural-frame", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("labhamlet/gramt-binaural-frame", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
gramt-binaural-frame
446 MB
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  • 1 contributor
History: 5 commits
GokseninYuksel's picture
GokseninYuksel
Upload feature extractor
ec039f2 verified 7 months ago
  • .gitattributes
    1.52 kB
    initial commit 7 months ago
  • Patcher.py
    2.99 kB
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  • README.md
    11.7 kB
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  • config.json
    794 Bytes
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  • configuration_gramt_binaural_frame.py
    1.62 kB
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  • droppath.py
    1.59 kB
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  • feature_extraction_gramt_binaural_frame.py
    6.43 kB
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  • model.py
    12.4 kB
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  • model.safetensors
    446 MB
    xet
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  • modeling_gramt_binaural_frame.py
    1.8 kB
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  • mwmae.py
    13 kB
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  • patching_utils.py
    3.95 kB
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  • pos_embed.py
    8.68 kB
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  • preprocessor_config.json
    329 Bytes
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  • swin.py
    17.7 kB
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  • utils.py
    8.42 kB
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