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", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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README.md
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base_model:
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- Sanjin2024/TinyRecursiveModels-ARC-AGI-2
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new_version:
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library_name: adapter-transformers
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---
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**# Model Card for Recursive Transformer Model (RTM) / ERS PyTorch Implementation**
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base_model:
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- Sanjin2024/TinyRecursiveModels-ARC-AGI-2
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- naimulislam/TinyRecursiveModelsNoTraining
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new_version: Drjkedwards/Recursive-Transformer-Model
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library_name: adapter-transformers
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---
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**# Model Card for Recursive Transformer Model (RTM) / ERS PyTorch Implementation**
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