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: 268 Bytes
94ab089 | 1 2 3 4 5 6 7 8 9 10 11 | {
"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"
} |