# deepset/gelectra-base-generator

Model from Hugging Face for fill mask: deepset/gelectra-base-generator · transformers

## Facts

- Type: LLM
- Task: fill-mask
- Framework: transformers
- License: mit — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/MIT.html)
- Source: https://huggingface.co/deepset/gelectra-base-generator
- Hosting: hosted (4 files)
- Files: 4 hosted of 8 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: 4 files, 137 MB
- Full repo upstream: 508 MB
- Recommended file: 136.8 MB · model.safetensors
- Download: https://huggingbay.xyz/artifact/hf-model-deepset-gelectra-base-generator/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-deepset-gelectra-base-generator/download-plan)
- Per-file SHA-256: available for 4 of 4 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-deepset-gelectra-base-generator/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: 55
- Stars: 3
- Card completeness: 96%

## Description

External Hugging Face catalog record for deepset/gelectra-base-generator. Task: fill mask. Library: transformers. Languages: de. Datasets referenced by card metadata: wikipedia, OPUS, OpenLegalData. Popularity signal at import: 55 downloads and 3 likes.

## Model Card Facts

- Declared license: mit
- Pipeline: fill-mask
- Library: transformers
- Task categories: fill-mask
- Languages: de
- Referenced datasets: wikipedia, OPUS, OpenLegalData
- Paper ids: 2010.10906
- File hints: 8 upstream file samples

## Referenced Data

- Dataset: wikipedia
- Dataset: OPUS
- Dataset: OpenLegalData
- Paper: 2010.10906

## File Hints

- .gitattributes (399 B)
- README.md (3.0 KB)
- config.json (582 B)
- model.safetensors (130 MB) LFS
- pytorch_model.bin (130 MB) LFS
- tf_model.h5 (223 MB) LFS
- tokenizer_config.json (83 B)
- vocab.txt (234 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 2026-09-24T21:45:18.670Z.
- Open license detected as mit.
- Model card references dataset context: wikipedia, OPUS, OpenLegalData.
- 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-deepset-gelectra-base-generator
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-deepset-gelectra-base-generator/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-deepset-gelectra-base-generator/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-deepset-gelectra-base-generator/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-deepset-gelectra-base-generator
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-deepset-gelectra-base-generator/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-deepset-gelectra-base-generator&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-deepset-gelectra-base-generator/decentralized-fallbacks