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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
49.2 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 23 commits
vigneshwar234's picture
vigneshwar234
Add TMT source code for direct installation from HuggingFace
d9f2f9f verified 2 days ago
  • data
    Add source: tmt/data/tokenizer.py 21 days ago
  • experiments
    Add source: tmt/experiments/01_baseline.ipynb 21 days ago
  • model
    Add TMT source code for direct installation from HuggingFace 2 days ago
  • training
    Add TMT source code for direct installation from HuggingFace 2 days ago
  • __init__.py
    69 Bytes
    Add source: tmt/__init__.py 21 days ago