# aehrm/dtaec-type-normalizer

Model from Hugging Face for translation: aehrm/dtaec-type-normalizer · transformers

## Facts

- Type: LLM
- Task: translation
- Framework: transformers
- License: cc0-1.0 — cc0-1.0: commercial use, modification, and redistribution are permitted; attribution is not required by CC0. (https://spdx.org/licenses/CC0-1.0.html)
- Source: https://huggingface.co/aehrm/dtaec-type-normalizer
- Hosting: hosted (6 files)
- Files: 6 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: 6 files, 31.7 MB
- Full repo upstream: 31.8 MB
- Recommended file: 31.7 MB (2 files)
- Download: https://huggingbay.xyz/artifact/hf-model-aehrm-dtaec-type-normalizer/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-aehrm-dtaec-type-normalizer/download-plan)
- Per-file SHA-256: available for 6 of 6 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-aehrm-dtaec-type-normalizer/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: 45
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for aehrm/dtaec-type-normalizer. Task: translation. Library: transformers. Languages: de. Datasets referenced by card metadata: aehrm/dtaec-lexica. Includes 2 model-card evaluation signals. Popularity signal at import: 45 downloads and 0 likes.

## Model Card Facts

- Declared license: cc0-1.0
- Pipeline: translation
- Library: transformers
- Task categories: translation
- Languages: de
- Referenced datasets: aehrm/dtaec-lexica
- Model-index entries: aehrm/dtaec-type-normalizer
- Evaluation signals: 2 model-card eval results
- File hints: 13 upstream file samples

## Evaluation Signals

- DTA EvalCorpus Lexicon: Word Accuracy = 0.9546 (Historic Text Normalization (type-level))
- DTA EvalCorpus Lexicon: Word Accuracy OOV = 0.9096 (Historic Text Normalization (type-level))

## Referenced Data

- Dataset: aehrm/dtaec-lexica

## File Hints

- .gitattributes (1.5 KB)
- README.md (5.7 KB)
- all_results.json (511 B)
- config.json (886 B)
- eval_results.json (293 B)
- generation_config.json (200 B)
- model.safetensors (30 MB) LFS
- special_tokens_map.json (141 B)
- tokenizer.json (4.0 KB)
- tokenizer_config.json (1.1 KB)
- train_results.json (239 B)
- trainer_state.json (75 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 2026-09-27T07:44:53.381Z.
- Open license detected as cc0-1.0.
- Model-index metadata found for aehrm/dtaec-type-normalizer.
- Model card references dataset context: aehrm/dtaec-lexica.
- 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-aehrm-dtaec-type-normalizer
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-aehrm-dtaec-type-normalizer/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-aehrm-dtaec-type-normalizer/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-aehrm-dtaec-type-normalizer/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-aehrm-dtaec-type-normalizer
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-aehrm-dtaec-type-normalizer/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-aehrm-dtaec-type-normalizer&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-aehrm-dtaec-type-normalizer/decentralized-fallbacks