# emillykkejensen/mmBERTscandi-base-embedding

Model from Hugging Face for sentence similarity: emillykkejensen/mmBERTscandi-base-embedding · sentence transformers

## Facts

- Type: Embedding
- Task: sentence-similarity
- Framework: sentence-transformers
- License: apache-2.0 — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/Apache-2.0.html)
- Source: https://huggingface.co/emillykkejensen/mmBERTscandi-base-embedding
- Hosting: hosted (8 files)
- Files: 8 hosted of 11 listed
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: 8 files, 1.26 GB
- Full repo upstream: 1.26 GB
- Recommended file: 1.23 GB · model.safetensors
- Download: https://huggingbay.xyz/artifact/hf-model-emillykkejensen-mmbertscandi-base-embedding/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-emillykkejensen-mmbertscandi-base-embedding/download-plan)
- Per-file SHA-256: available for 8 of 8 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-emillykkejensen-mmbertscandi-base-embedding/files?limit=100
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 1161
- Stars: 2
- Card completeness: 96%

## Description

External Hugging Face catalog record for emillykkejensen/mmBERTscandi-base-embedding. Task: sentence similarity. Library: sentence transformers. Languages: da, no, sw, sv. Datasets referenced by card metadata: DDSC/nordic-embedding-training-data. Base model: jonasaise/scandmmBERT-base-scandinavian. Includes 12 model-card evaluation signals. Popularity signal at import: 3,766 downloads and 2 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: sentence-similarity
- Library: sentence-transformers
- Base model: jonasaise/scandmmBERT-base-scandinavian
- Task categories: sentence-similarity
- Languages: da, no, sw, sv
- Referenced datasets: DDSC/nordic-embedding-training-data
- Metrics: cosine_accuracy@1, cosine_accuracy@3, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@1, cosine_precision@3, cosine_precision@5, cosine_precision@10
- Paper ids: 1908.10084, 2101.06983
- Model-index entries: mmBERTscandi-base-embedding
- Evaluation signals: 12 model-card eval results
- File hints: 11 upstream file samples

## Evaluation Signals

- nordic embedding eval instruct: Cosine Accuracy@1 = 0.4524 (Information Retrieval)
- nordic embedding eval instruct: Cosine Accuracy@3 = 0.5758 (Information Retrieval)
- nordic embedding eval instruct: Cosine Accuracy@5 = 0.6198 (Information Retrieval)
- nordic embedding eval instruct: Cosine Accuracy@10 = 0.6776 (Information Retrieval)
- nordic embedding eval instruct: Cosine Precision@1 = 0.4524 (Information Retrieval)
- nordic embedding eval instruct: Cosine Precision@3 = 0.1919333333333333 (Information Retrieval)
- nordic embedding eval instruct: Cosine Precision@5 = 0.12395999999999999 (Information Retrieval)
- nordic embedding eval instruct: Cosine Precision@10 = 0.06775999999999999 (Information Retrieval)
- nordic embedding test instruct: Cosine Accuracy@1 = 0.4464 (Information Retrieval)
- nordic embedding test instruct: Cosine Accuracy@3 = 0.5726 (Information Retrieval)

## Referenced Data

- Dataset: DDSC/nordic-embedding-training-data
- Paper: 1908.10084
- Paper: 2101.06983

## File Hints

- .gitattributes (1.5 KB)
- 1_Pooling/config.json (312 B)
- README.md (60 KB)
- config.json (1.2 KB)
- config_sentence_transformers.json (452 B)
- model.safetensors (1.1 GB) LFS
- modules.json (229 B)
- sentence_bert_config.json (58 B)
- special_tokens_map.json (1.0 KB)
- tokenizer.json (33 MB) LFS
- tokenizer_config.json (45 KB)

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: passed

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-09-22T02:56:40.895Z.
- Open license detected as apache-2.0.
- Model-index metadata found for mmBERTscandi-base-embedding.
- Model card references dataset context: DDSC/nordic-embedding-training-data.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

- Web: https://huggingbay.xyz/artifact/hf-model-emillykkejensen-mmbertscandi-base-embedding
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- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-emillykkejensen-mmbertscandi-base-embedding/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-emillykkejensen-mmbertscandi-base-embedding&limit=100
- Request mirror: not applicable.
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