Model reference · open weights

LaBSE-en-ru

LaBSE-en-ru is an open-weight embedding model from cointegrated, 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.

Licence fee required Embeddings cointegrated 1 variants 271k downloads/mo
Request a licence + hosting quote All served models Not on the shared API today — deployed on request.

About

What LaBSE-en-ru is

LaBSE for English and Russian This is a truncated version of sentence-transformers/LaBSE, which is, in turn, a port of LaBSE by Google. The current model has only English and Russian tokens left in the vocabulary. Thus, the vocabulary is 10% of the original, and number of parameters in the whole model is 27% of the original, without any loss in the quality of English and Russian embeddings. To get the sentence embeddings, you can use the following code: The model has been truncated in this notebook. You can adapt it for other languages (like EIStakovskii/LaBSE-fr-de), models or datasets. Reference: Fangxiaoyu Feng, Yinfei Yang, Daniel Cer, Narveen Ari, Wei Wang. Language-agnostic BERT Sentence Embedding. July 2020 License: https://tfhub.dev/google/LaBSE/1

Summarised from the published model card. Read the full card on the HuggingFace links below.

Specifications

What it is

Makercointegrated
TypeEmbedding models
Parameters (lead)129M
Context512 tokens
Variants1
Runs withtransformers
Released2022-03-02
Popularity271k downloads / month
Likes60
LicenceCommercial licence needed

How it works

How embedding models work

Your textsentence / documentEncodermaps meaningVectorlist of numbersAn embedding model turns text into a vector, so similar meanings sit close together — the basis of search and RAG.

Variants

Sizes & precisions

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.

VariantParamsPrecisionVRAMFits 16 GBWeights
LaBSE-en-ru129MBF16~0.3 GBWeights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys labse-en-ru for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (labse-en-ru 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-en-ru","input":"text to embed"}'

Details

Languages, data & research

Languages

ru en

Tags

transformers pytorch tf safetensors bert pretraining feature-extraction embeddings sentence-similarity ru en endpoints_compatible

Papers

Licence

Commercial licence needed

The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗

Sources

Weights & code

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