Model reference · open weights

KR-SBERT-V40K-klueNLI-augSTS

KR-SBERT-V40K-klueNLI-augSTS is an open-weight embedding model from snunlp, 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 snunlp 1 variants 467k downloads/mo
Request a licence + hosting quote All served models Not on the shared API today — deployed on request.

About

What KR-SBERT-V40K-klueNLI-augSTS is

snunlp/KR-SBERT-V40K-klueNLI-augSTS This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search. Usage (Sentence-Transformers) Using this model becomes easy when you have sentence-transformers installed: Then you can use the model like this: Usage (HuggingFace Transformers) Without sentence-transformers, you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings. Evaluation Results For an automated evaluation of this model, see the Sentence Embeddings Benchmark: https://seb.sbert.net Full Model Architecture Application for document classification Tutorial in Google Colab: https://colab.research.google.com/drive/1S6WSjOx9h6WhrX1Z2UXwx9iuHLlOiM Citation

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

Specifications

What it is

Makersnunlp
TypeEmbedding models
Context512 tokens
Variants1
Runs withsentence-transformers
Released2022-05-03
Popularity467k downloads / month
Likes84
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
KR-SBERT-V40K-klueNLI-augSTSBF16Weights ↗

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys kr-sbert-v40k-kluenli-augsts for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (kr-sbert-v40k-kluenli-augsts 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":"kr-sbert-v40k-kluenli-augsts","input":"text to embed"}'

Details

Languages, data & research

Languages

ko

Tags

sentence-transformers pytorch bert feature-extraction sentence-similarity transformers ko text-embeddings-inference endpoints_compatible deploy:azure

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

Want KR-SBERT-V40K-klueNLI-augSTS on EU-owned hardware?

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