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Hooshaai
/
svd-linear-attention-roberta-soa_module

Text Classification
Transformers
PyTorch
English
svd
model-compression
linear-attention
efficient-transformers
distilbert
Model card Files Files and versions
xet
Community

Instructions to use Hooshaai/svd-linear-attention-roberta-soa_module with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hooshaai/svd-linear-attention-roberta-soa_module with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Hooshaai/svd-linear-attention-roberta-soa_module")
    # pip install -U transformers accelerate
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Hooshaai/svd-linear-attention-roberta-soa_module", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
svd-linear-attention-roberta-soa_module
2.38 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
tahamajs's picture
tahamajs
docs: upgrade publication-grade README with benchmarks and reproducibility code
bc34397 verified about 1 month ago
  • .gitattributes
    1.52 kB
    initial commit about 1 month ago
  • README.md
    2.93 kB
    docs: upgrade publication-grade README with benchmarks and reproducibility code about 1 month ago
  • metrics.json
    1.21 kB
    Upload hardened SOA_MODULE model weights (roberta) - Acc: 59.75% about 1 month ago
  • weights.pt
    2.37 MB
    xet
    Upload hardened SOA_MODULE model weights (roberta) - Acc: 59.75% about 1 month ago