# ipsnan/keywordsextraction

Model from Hugging Face for sentence similarity: ipsnan/keywordsextraction · sentence transformers

## Facts

- Type: Embedding
- Task: sentence-similarity
- Framework: sentence-transformers
- License: mit — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/MIT.html)
- Source: https://huggingface.co/ipsnan/keywordsextraction
- Hosting: unknown (no download location recorded)
- Files: 13 listed, none hosted here
- 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: availability unknown
- Full repo upstream: 1.27 GB
- Download: none recorded
- Per-file SHA-256: not available (no files hosted on Hugging Bay)
- 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: 428
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for ipsnan/keywordsextraction. Task: sentence similarity. Library: sentence transformers. Languages: uk. Base model: intfloat/multilingual-e5-base. Includes 8 model-card evaluation signals. Popularity signal at import: 428 downloads and 0 likes.

## Model Card Facts

- Declared license: mit
- Pipeline: sentence-similarity
- Library: sentence-transformers
- Base model: intfloat/multilingual-e5-base
- Task categories: sentence-similarity
- Languages: uk
- Metrics: cosine_accuracy@1, cosine_accuracy@5, cosine_accuracy@10, cosine_precision@5, cosine_precision@10, cosine_recall@5, cosine_recall@10, cosine_ndcg@10
- Model-index entries: keywordsextraction
- Evaluation signals: 8 model-card eval results
- File hints: 13 upstream file samples

## Evaluation Signals

- kw retrieval: Cosine Accuracy@1 = 0.965 (Information Retrieval)
- kw retrieval: Cosine Accuracy@5 = 0.995 (Information Retrieval)
- kw retrieval: Cosine Accuracy@10 = 0.995 (Information Retrieval)
- kw retrieval: Cosine Precision@5 = 0.7835 (Information Retrieval)
- kw retrieval: Cosine Precision@10 = 0.464 (Information Retrieval)
- kw retrieval: Cosine Recall@5 = 0.8075 (Information Retrieval)
- kw retrieval: Cosine Recall@10 = 0.9143 (Information Retrieval)
- kw retrieval: Cosine Ndcg@10 = 0.9184 (Information Retrieval)

## File Hints

- .gitattributes (2.3 KB)
- 1_Pooling/config.json (312 B)
- 1fullsourcedata.py (47 KB)
- README.md (7.4 KB)
- config.json (741 B)
- config_sentence_transformers.json (284 B)
- infer_keywords.py (7.5 KB)
- keyword_index.pkl (135 MB) LFS
- model.safetensors (1.0 GB) LFS
- modules.json (349 B)
- sentence_bert_config.json (57 B)
- tokenizer.json (16 MB) LFS

## 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: pending

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-09-23T01:59:24.520Z.
- Open license detected as mit.
- Model-index metadata found for keywordsextraction.
- Not locally hosted, mirrored, signed, or rescanned by Hugging Bay.
- 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-ipsnan-keywordsextraction
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-ipsnan-keywordsextraction/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-ipsnan-keywordsextraction/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-ipsnan-keywordsextraction/distribution
- Manifest: not available until files are hosted and release checks pass.
- Request mirror: POST https://huggingbay.xyz/api/artifacts/hf-model-ipsnan-keywordsextraction/mirror-request
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-ipsnan-keywordsextraction/decentralized-fallbacks