Instructions to use cubert-gmbh/vit_base_patch14_dinov2.lvd142m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- timm
How to use cubert-gmbh/vit_base_patch14_dinov2.lvd142m with timm:
import timm model = timm.create_model("hf-hub:cubert-gmbh/vit_base_patch14_dinov2.lvd142m", pretrained=True) - Notebooks
- Google Colab
- Kaggle
DINOv2 ViT-B/14 (timm, LVD-142M) (mirror)
Byte-identical mirror of timm/vit_base_patch14_dinov2.lvd142m at revision 4685c99dabffe5affac90bd99dbffd25801ae58d (original release: https://github.com/facebookresearch/dinov2) for the
Cuvis.AI plugins. No fine-tuning,
conversion or re-serialization: the files below are the upstream release as published,
with the upstream licence text in LICENSE.
Why this mirror exists
Cuvis.AI provisions model weights once into a shared cache (download-model download <name> from cuvis-ai-core) and then runs its pipelines in an offline, token-free
runtime that only reads that cache. Hosting the exact upstream files under the
cubert-gmbh organisation makes that provisioning reproducible (commit-pinned and
sha256-verified) and takes the per-user Hugging Face account and token out of the
users' path.
Files and provenance
| File | Upstream source | Upstream revision / id | sha256 | Size |
|---|---|---|---|---|
model.safetensors |
timm/vit_base_patch14_dinov2.lvd142m / model.safetensors |
4685c99dabffe5affac90bd99dbffd25801ae58d |
55cbb5d887b336d430e649c277b85a1429e724871f9d02ac16203235886d8c7b |
346.3 MB |
config.json |
timm/vit_base_patch14_dinov2.lvd142m / config.json |
4685c99dabffe5affac90bd99dbffd25801ae58d |
01050c8ec1abcd2fb980c33cae05468bde6aa6768dc1f8c8ba38f2e5f828f1a7 |
0.6 kB |
LICENSE |
https://raw.githubusercontent.com/facebookresearch/dinov2/main/LICENSE | n/a (URL; sha256 pinned) | 600cc67cc4cb2f5ea317dcfc687ad1c74dc4bec8782bbe9db0afd83513b935b7 |
11.4 kB |
Mirrored on 2026-10-09 by Cubert GmbH from the sources above. The sha256 values are the
upstream values; tools/mirror_weights.py check in cuvis-ai-core re-verifies this
repository against them and against the upstream licence text.
Licence
Apache License 2.0. The LICENSE file is the upstream licence text taken verbatim
from https://github.com/facebookresearch/dinov2 (the release the timm repository converts; the timm repository declares license: apache-2.0 and ships no LICENSE file) at the mirror date. Copyright remains with the upstream authors; Cubert
GmbH claims no rights in these files.
Usage with Cuvis.AI
uv run download-model download vit_base_patch14_dinov2_lvd142m
download-model (from cuvis-ai-core) provisions the file into the shared Hugging
Face cache and verifies its sha256. From cuvis-ai-core 0.16.0 on,
ModelWeights.resolve("<name>") returns the cached path and the cuvis-ai-steervit nodes
resolve their weights through it, so a pipeline needs no manual step once the
weights are provisioned; earlier plugin releases still fetch from their original
upstream sources.
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Model tree for cubert-gmbh/vit_base_patch14_dinov2.lvd142m
Base model
timm/vit_base_patch14_dinov2.lvd142m