Model reference · open weights
Cat2Real-DINO-384 is an open-weight embedding model from zhanganyi88, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
Cat2Real-DINOv3-384 Cat2Real-DINOv3-384 is a product image embedding model fine-tuned from DINOv3. It maps the real-world product images and catalog packshots to the same embedding space for similarity search. How to Get Started with the Model The example below demonstrates how to obtain an image embedding with the [AutoModel] class.
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | zhanganyi88 |
|---|---|
| Type | Embedding models |
| Parameters (lead) | 303M |
| Variants | 1 |
| Based on | facebook/dinov3-vitl16-pretrain-lvd1689m |
| Released | 2026-06-22 |
| Popularity | 546 downloads / month |
| Likes | 3 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| Cat2Real-DINOv3-384 | 303M | BF16 | ~0.7 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys cat2real-dino-384 for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (cat2real-dino-384 below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/embeddings \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"cat2real-dino-384","input":"text to embed"}'
Details
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Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗
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