# KennethEnevoldsen/dfm-sentence-encoder-large

Model from Hugging Face for feature extraction: KennethEnevoldsen/dfm-sentence-encoder-large · transformers

## Facts

- Type: Embedding
- Task: feature-extraction
- Framework: transformers
- License: mit — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/MIT.html)
- Source: https://huggingface.co/KennethEnevoldsen/dfm-sentence-encoder-large
- Hosting: hosted (5 files)
- Files: 5 hosted of 13 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: 5 files, 1.63 GB
- Full repo upstream: 6.52 GB
- Recommended file: 1.63 GB · model.safetensors
- Download: https://huggingbay.xyz/artifact/hf-model-kennethenevoldsen-dfm-sentence-encoder-large/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-kennethenevoldsen-dfm-sentence-encoder-large/download-plan)
- Per-file SHA-256: available for 5 of 5 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-kennethenevoldsen-dfm-sentence-encoder-large/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: 417
- Stars: 3
- Card completeness: 96%

## Description

External Hugging Face catalog record for KennethEnevoldsen/dfm-sentence-encoder-large. Task: feature extraction. Library: transformers. Languages: da. Datasets referenced by card metadata: DDSC/dagw_no_twitter. Popularity signal at import: 1,566 downloads and 3 likes.

## Model Card Facts

- Declared license: mit
- Pipeline: feature-extraction
- Library: transformers
- Task categories: feature-extraction
- Languages: da
- Referenced datasets: DDSC/dagw_no_twitter
- File hints: 13 upstream file samples

## Referenced Data

- Dataset: DDSC/dagw_no_twitter

## File Hints

- .gitattributes (1.5 KB)
- README.md (1.8 KB)
- config.json (677 B)
- model.safetensors (1.5 GB) LFS
- optimizer.pt (3.0 GB) LFS
- pytorch_model.bin (1.5 GB) LFS
- scheduler.pt (627 B) LFS
- special_tokens_map.json (112 B)
- tokenizer_config.json (379 B)
- train_results.txt (72 B)
- trainer_state.json (31 KB)
- training_args.bin (2.1 KB) 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: passed

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-09-22T14:34:28.783Z.
- Open license detected as mit.
- Model card references dataset context: DDSC/dagw_no_twitter.
- 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-kennethenevoldsen-dfm-sentence-encoder-large
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-kennethenevoldsen-dfm-sentence-encoder-large/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-kennethenevoldsen-dfm-sentence-encoder-large/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-kennethenevoldsen-dfm-sentence-encoder-large/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-kennethenevoldsen-dfm-sentence-encoder-large
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-kennethenevoldsen-dfm-sentence-encoder-large/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-kennethenevoldsen-dfm-sentence-encoder-large&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-kennethenevoldsen-dfm-sentence-encoder-large/decentralized-fallbacks