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vigneshwar234
/
TemporalMesh-Transformer

Transformers
PyTorch
English
language-model
graph-attention
adaptive-depth
temporal-decay
efficient-llm
Eval Results (legacy)
Model card Files Files and versions
xet
Community
2

Instructions to use vigneshwar234/TemporalMesh-Transformer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vigneshwar234/TemporalMesh-Transformer with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("vigneshwar234/TemporalMesh-Transformer", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
TemporalMesh-Transformer / tmt /experiments
9.38 kB
Ctrl+K
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  • 1 contributor
History: 4 commits
vigneshwar234's picture
vigneshwar234
Add source: tmt/experiments/01_baseline.ipynb
93d8b89 verified 21 days ago
  • 01_baseline.ipynb
    3.96 kB
    Add source: tmt/experiments/01_baseline.ipynb 21 days ago
  • 02_mesh_only.ipynb
    1.66 kB
    Add source: tmt/experiments/02_mesh_only.ipynb 21 days ago
  • 03_full_tmt.ipynb
    1.75 kB
    Add source: tmt/experiments/03_full_tmt.ipynb 21 days ago
  • 04_compare.ipynb
    2.01 kB
    Add source: tmt/experiments/04_compare.ipynb 21 days ago