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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
2.65 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 51 commits
vigneshwar234's picture
vigneshwar234
Add results.yml for Papers With Code / HF leaderboard integration
14ef454 verified 2 days ago
  • paper
    Add figure fig_training.png 21 days ago
  • tests
    Add source: tests/test_shapes.py 21 days ago
  • tmt
    Add TMT source code for direct installation from HuggingFace 2 days ago
  • .gitattributes
    2 kB
    Add figure fig_training.png 21 days ago
  • CHANGELOG.md
    1.69 kB
    Add CHANGELOG.md 21 days ago
  • CITATION.cff
    1.25 kB
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  • README.md
    5.22 kB
    Update model card: TMT v3 comprehensive documentation 2 days ago
  • github_README.md
    21.5 kB
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  • inference.py
    4.78 kB
    Add inference.py 21 days ago
  • pyproject.toml
    2.21 kB
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  • requirements.txt
    335 Bytes
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  • results.yml
    762 Bytes
    Add results.yml for Papers With Code / HF leaderboard integration 2 days ago