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
| from .modeling_recursive_transformer import ( | |
| RecursiveTransformerConfig, | |
| RecursiveTransformerModel, | |
| MemoryBlock, | |
| PMLLLattice, | |
| ) | |
| __version__ = "1.0.0" | |
| __all__ = [ | |
| "RecursiveTransformerConfig", | |
| "RecursiveTransformerModel", | |
| "MemoryBlock", | |
| "PMLLLattice", | |
| ] |