Reinforcement Learning
Transformers
PyTorch
English
brain-inspired
spiking-neural-network
biologically-plausible
modular-architecture
vision-language
curriculum-learning
cognitive-architecture
artificial-general-intelligence
Eval Results (legacy)
Instructions to use Almusawee/ModularBrainAgent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Almusawee/ModularBrainAgent with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Almusawee/ModularBrainAgent", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README_ModularBrainAgent_HF.md
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README_ModularBrainAgent_HF.md
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## 🤝 License
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MIT License (free to use, adapt, and build upon with attribution)
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## 📝 Citation
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## 🤝 License
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MIT License (free to use, adapt, and build upon with attribution)
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## 📝 Citation
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> ⚠️ **Note**: This version of the model is a **working prototype**.
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> While the architecture is complete and documented,
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> training and module testing are ongoing. Contributions welcome.
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