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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 131 Bytes
10e80ef | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:63b978897584a9737af48bb8a69f63c3cb6dc989b2367cce5eb7dc62caba68f4
size 111383
|