Instructions to use Drjkedwards/Recursive-Transformer-Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Drjkedwards/Recursive-Transformer-Model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Drjkedwards/Recursive-Transformer-Model", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 287 Bytes
1575482 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | from .modeling_recursive_transformer import (
RecursiveTransformerConfig,
RecursiveTransformerModel,
MemoryBlock,
PMLLLattice,
)
__version__ = "1.0.0"
__all__ = [
"RecursiveTransformerConfig",
"RecursiveTransformerModel",
"MemoryBlock",
"PMLLLattice",
] |