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neurovlm/NeuroQformer

sourceHugging Faceupdated 4mo agoView on Hugging Face

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NeuroQformer

NeuroQformer contains the QFormer weights used by NeuroVLM brain-map-to-text generation.

Files

—model.safetensors: tensor weights for the QFormer wrapper.
—config.json: architecture config and canonical semantic metadata.

The weights include the QFormer, frozen image projection head, and frozen canonical semantic projection banks. The canonical bank tensors are registered as buffers, so they are part of the model state and never trainable.

Load with:

python

from neurovlm.retrieval_resources import _load_neuro_qformer

model = _load_neuro_qformer(device="cpu", projection_temp=0.05, canonical_basis="network")

Set projection_temp=None to bypass canonical projection.