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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Almusawee/ModularBrainAgent", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download ModularBrainAgent_Paper_Package.zip from Almusawee/ModularBrainAgent: direct link, hf CLI and curl.
- Browser
- Download file 4.94 kB
-
https://huggingface.co/Almusawee/ModularBrainAgent/resolve/fa888d5ebcc2a7ae686ebd4df9d6c5d86bccfadd/ModularBrainAgent_Paper_Package.zip
- Command line
-
hf download hf://Almusawee/ModularBrainAgent@fa888d5ebcc2a7ae686ebd4df9d6c5d86bccfadd/ModularBrainAgent_Paper_Package.zip
-
curl -L -o ModularBrainAgent_Paper_Package.zip https://huggingface.co/Almusawee/ModularBrainAgent/resolve/fa888d5ebcc2a7ae686ebd4df9d6c5d86bccfadd/ModularBrainAgent_Paper_Package.zip
4.94 kB
- Xet hash:
- d7586af9965513d797e50cdefaf7831005dca161f35bc93ae588cb617efd3aba
- Size of remote file:
- 4.94 kB
- SHA256:
- b7dead208b774be0c1897f94d5137e849b8d627fbb5d5a34e99177c3f8c51896
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