Model reference · open weights
LaBSE is an open-weight embedding model from sentence-transformers, 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
LaBSE This is a port of the LaBSE model to PyTorch. It can be used to map 109 languages to a shared vector space. Usage (Sentence-Transformers) Using this model becomes easy when you have sentence-transformers installed: Then you can use the model like this: Full Model Architecture Citing & Authors Have a look at LaBSE for the respective publication that describes LaBSE.
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | sentence-transformers |
|---|---|
| Type | Embedding models |
| Parameters (lead) | 471M |
| Context | 512 tokens |
| Variants | 1 |
| Runs with | sentence-transformers |
| Released | 2022-03-02 |
| Popularity | 762k downloads / month |
| Likes | 346 |
| 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 |
|---|---|---|---|---|---|
| LaBSE | 471M | BF16 | ~1.1 GB | ✓ | Weights ↗ |
Using it via the API
Once AxForge deploys labse for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (labse 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":"labse","input":"text to embed"}'
Details
Languages
Tags
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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