# deutsche-telekom/bert-multi-english-german-squad2

Model from Hugging Face for question answering: deutsche-telekom/bert-multi-english-german-squad2 · transformers

## Facts

- Type: LLM
- Task: question-answering
- Framework: transformers
- License: mit — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/MIT.html)
- Source: https://huggingface.co/deutsche-telekom/bert-multi-english-german-squad2
- Hosting: hosted (5 files)
- Files: 5 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: 5 files, 710.1 MB
- Full repo upstream: 1.42 GB
- Recommended file: 1.42 GB (2 files)
- Download: https://huggingbay.xyz/artifact/hf-model-deutsche-telekom-bert-multi-english-german-squad2/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-deutsche-telekom-bert-multi-english-german-squad2/download-plan)
- Per-file SHA-256: available for 5 of 5 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-deutsche-telekom-bert-multi-english-german-squad2/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: 40
- Stars: 40
- Card completeness: 92%

## Description

External Hugging Face catalog record for deutsche-telekom/bert-multi-english-german-squad2. Task: question answering. Library: transformers. Languages: de, en, multilingual. Popularity signal at import: 98 downloads and 40 likes.

## Model Card Facts

- Declared license: mit
- Pipeline: question-answering
- Library: transformers
- Task categories: question-answering
- Languages: de, en, multilingual
- File hints: 8 upstream file samples

## File Hints

- .gitattributes (744 B)
- README.md (3.1 KB)
- config.json (817 B)
- model.safetensors (676 MB) LFS
- pytorch_model.bin (676 MB) LFS
- special_tokens_map.json (112 B)
- tokenizer_config.json (264 B)
- vocab.txt (972 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 2026-09-24T04:20:48.526Z.
- Open license detected as mit.
- 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-deutsche-telekom-bert-multi-english-german-squad2
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-deutsche-telekom-bert-multi-english-german-squad2/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-deutsche-telekom-bert-multi-english-german-squad2/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-deutsche-telekom-bert-multi-english-german-squad2/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-deutsche-telekom-bert-multi-english-german-squad2
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-deutsche-telekom-bert-multi-english-german-squad2/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-deutsche-telekom-bert-multi-english-german-squad2&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-deutsche-telekom-bert-multi-english-german-squad2/decentralized-fallbacks