quora-distilbert-multilingual is a named sentence-embedding model, so the answer is about that model: it is a multilingual model in the sentence-transformers family, and it is loaded and used through the Sentence Transformers library 2. The sources do not list the model itself, so the alternatives below are general multilingual embedding options that do the same job.
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Sentence Transformers (SBERT)sbert.netverified and signed
Python module for computing embeddings from text, images, audio or video and for training embedding models, which is the library that loads and uses quora-distilbert-multilingual 212.
official:SDK · sentence-transformers+24 community tools built for it
for agents: embedding · XLNet · deep
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Hugging Face Transformershuggingface.coverified and signed
Hosts and runs open models with an SDK and a sentence-transformers fine-tuning skill, so the model can be downloaded and used or fine-tuned here 111.
official:SDK · transformersskill · train-sentence-transformersskill · transformers-js+16 community tools built for it
for agents: train-sentence-transformers · nlp · transformers-js
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Sources
- 1Hugging Face – The AI community building the future.huggingface.co · read 2026-10-29
- 2SentenceTransformers Documentation — Sentence Transformers documentationsbert.net · read 2026-10-29
- 5Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 10Jina AI - Your Search Foundation, Supercharged.jina.ai · read 2026-10-29
- 11train-sentence-transformers: declares "train-sentence-transformers" (the record we read and signed)unfragile.ai · read 2026-10-24
- 12sentence-transformers: declares "embedding" (the record we read and signed)unfragile.ai · read 2026-10-24
- 15beautyyuyanli/multilingual-e5-large: declares "beautyyuyanli/multilingual-e5-large" (the record we read and signed)unfragile.ai · read 2026-10-24
- 20Jina AI: declares "deduplicate_strings" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
train-sentence-transformers · train-sentence-transformers verified and signed
Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification
embedding · sentence-transformers verified and signed
what-context-needed · what-context-needed verified and signed
Ask Copilot what files it needs to see before answering a question
search_embeddings · OpenAI (Activepieces) verified and signed
Search Embeddings — Rank a list of texts by how closely they match a query.
beautyyuyanli/multilingual-e5-large · beautyyuyanli/multilingual-e5-large verified and signed
multilingual-e5-large: A multi-language text embedding model
elasticsearch-anomaly-detection · elasticsearch-anomaly-detection verified and signed
Create and manage Elastic ML anomaly detection jobs via the API. Use when setting up jobs on an index or data stream, configuring jobs and datafeeds, or opening, starting, or stopping them.
secrets-store-duplicate-by-id · Cloudflare API verified and signed
Duplicate Secret
· SGLang website read, tools not yet checked
SGLang powers fast, scalable inference for large language and multimodal models. Open-source serving framework with state-of-the-art performance.
saattrupdan/multilingual-e5-large-instruct · saattrupdan/multilingual-e5-large-instruct verified and signed
multilingual-e5-large-instruct: A multi-language text embedding model with custom query instructions.
qdrant-search-quality · qdrant-search-quality verified and signed
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'how
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.