Transformers
PyTorch
English
language-model
graph-attention
adaptive-depth
temporal-decay
efficient-llm
Eval Results (legacy)
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
Add source: tmt/__init__.py
Browse files- tmt/__init__.py +1 -0
tmt/__init__.py
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"""TemporalMesh Transformer (TMT) — novel architecture package."""
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