apiantonio
/

vjepa2.1-vit-gigantic-384

Video Classification

feature-extraction

self-supervised

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apiantonio commited on Jul 26

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@@ -43,7 +43,7 @@ fused projection.
 If you want to reproduce the comparisons below, note that `torch.hub.load` against the current
 `main` of `facebookresearch/vjepa2` does not work: `src/hub/backbones.py` ships with
 `VJEPA_BASE_URL = "http://localhost:8300"` and the real URL commented out above it. Download the
-checkpoint directly from `https://dl.fbaipublicfiles.com/vjepa2/vjepa2_1_vitG_384.pt`
 and build the reference modules from `app/vjepa_2_1/models/`, which is what the shipped scripts do.
 ## Architecture

 If you want to reproduce the comparisons below, note that `torch.hub.load` against the current
 `main` of `facebookresearch/vjepa2` does not work: `src/hub/backbones.py` ships with
 `VJEPA_BASE_URL = "http://localhost:8300"` and the real URL commented out above it. Download the
+checkpoint directly from <https://dl.fbaipublicfiles.com/vjepa2/vjepa2_1_vitG_384.pt>
 and build the reference modules from `app/vjepa_2_1/models/`, which is what the shipped scripts do.
 ## Architecture