vjepa_huge_16_cls(pretrained: bool = False, overrides: object = {})V-JEPA ViT-H/16 under the paper's attentive probe.
Model Size
Parameters
pretrainedbool= FalseNot redistributed;
True raises.**overridesobject= {}Optional
VJEPAConfig field overrides.Returns
VJEPAForVideoClassificationThe pretraining networks, an attentive pooler and a classifier.
Notes
Reference: Bardes et al., arXiv:2404.08471, Table 6.
Examples
>>> from lucid.models import AutoConfig
>>> AutoConfig.from_pretrained("vjepa_huge_16_cls").dim
1280