Model reference · open weights

st-polish-paraphrase-from-mpnet

st-polish-paraphrase-from-mpnet is an open-weight embedding model from sdadas, 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.

Embeddings sdadas 1 variants 415k downloads/mo
Request this model on EU hardware All served models Not on the shared API today — deployed on request.

About

What st-polish-paraphrase-from-mpnet is

sdadas/st-polish-paraphrase-from-mpnet 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 Citing & Authors

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

Specifications

What it is

Makersdadas
TypeEmbedding models
Parameters (lead)124M
Context514 tokens
Variants1
Runs withsentence-transformers
Released2022-07-25
Popularity415k downloads / month
Likes5
LicenceOpen, with conditions

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
st-polish-paraphrase-from-mpnet124MBF16~0.3 GBWeights ↗

Using it via the API

Call it like any OpenAI endpoint

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

Details

Languages, data & research

Languages

pl

Tags

sentence-transformers pytorch safetensors roberta feature-extraction sentence-similarity transformers pl text-embeddings-inference endpoints_compatible

Licence

Open, with conditions

Open weights under lgpl, which carries conditions (e.g. attribution or an acceptable-use clause). Worth a read before production use — we can walk you through it. Read the licence ↗

Sources

Weights & code

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