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
| { | |
| "model_type": "recursive_transformer", | |
| "embedding_dim": 384, | |
| "num_petals": 8, | |
| "decay_alpha": 0.95, | |
| "consensus_threshold": 0.75, | |
| "contradiction_threshold": 0.65, | |
| "max_recursive_passes": 3, | |
| "transformers_version": "4.45.0", | |
| "torch_dtype": "float32" | |
| } |