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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 /data
3.31 kB
Ctrl+K
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  • 1 contributor
History: 3 commits
vigneshwar234's picture
vigneshwar234
Add source: tmt/data/tokenizer.py
d138de8 verified 21 days ago
  • __init__.py
    26 Bytes
    Add source: tmt/data/__init__.py 21 days ago
  • dataset.py
    2.29 kB
    Add source: tmt/data/dataset.py 21 days ago
  • tokenizer.py
    988 Bytes
    Add source: tmt/data/tokenizer.py 21 days ago