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", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- 663f005bb00495a540355de7219b799e47d922f1f42f200d03c537b1e5375919
- Size of remote file:
- 1.23 MB
- SHA256:
- 4f974ebe396cb7f2b26c2b8e5505baa9a72a3c0ecdb01808877cb2574296642d
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