# Jorgeutd/bert-large-uncased-finetuned-ner

Model from Hugging Face for token classification: Jorgeutd/bert-large-uncased-finetuned-ner · transformers

## Facts

- Type: LLM
- Task: token-classification
- Framework: transformers
- License: apache-2.0 — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/Apache-2.0.html)
- Source: https://huggingface.co/Jorgeutd/bert-large-uncased-finetuned-ner
- Hosting: hosted (7 files)
- Files: 7 hosted of 11 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: 7 files, 1.34 GB
- Full repo upstream: 2.67 GB
- Recommended file: 2.67 GB (3 files)
- Download: https://huggingbay.xyz/artifact/hf-model-jorgeutd-bert-large-uncased-finetuned-ner/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-jorgeutd-bert-large-uncased-finetuned-ner/download-plan)
- Per-file SHA-256: available for 7 of 7 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-jorgeutd-bert-large-uncased-finetuned-ner/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: 25
- Stars: 6
- Card completeness: 96%

## Description

External Hugging Face catalog record for Jorgeutd/bert-large-uncased-finetuned-ner. Task: token classification. Library: transformers. Languages: en. Datasets referenced by card metadata: conll2003. Base model: bert-large-uncased. Includes 4 model-card evaluation signals. Popularity signal at import: 33 downloads and 6 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: token-classification
- Library: transformers
- Base model: bert-large-uncased
- Task categories: token-classification
- Languages: en
- Referenced datasets: conll2003
- Metrics: precision, recall, f1, accuracy
- Model-index entries: bert-large-uncased-finetuned-ner
- Evaluation signals: 4 model-card eval results
- File hints: 11 upstream file samples

## Evaluation Signals

- conll2003: Precision = 0.9504719600222099 (Token Classification)
- conll2003: Recall = 0.9574896520863632 (Token Classification)
- conll2003: F1 = 0.9539679001337494 (Token Classification)
- conll2003: Accuracy = 0.9885618059637473 (Token Classification)

## Referenced Data

- Dataset: conll2003

## File Hints

- .gitattributes (1.2 KB)
- .gitignore (13 B)
- README.md (3.8 KB)
- config.json (1.0 KB)
- model.safetensors (1.2 GB) LFS
- pytorch_model.bin (1.2 GB) LFS
- special_tokens_map.json (112 B)
- tokenizer.json (695 KB)
- tokenizer_config.json (322 B)
- training_args.bin (3.0 KB) LFS
- vocab.txt (226 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 2026-09-03T02:41:07.214Z.
- Open license detected as apache-2.0.
- Model-index metadata found for bert-large-uncased-finetuned-ner.
- Model card references dataset context: conll2003.
- 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-jorgeutd-bert-large-uncased-finetuned-ner
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-jorgeutd-bert-large-uncased-finetuned-ner/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-jorgeutd-bert-large-uncased-finetuned-ner/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-jorgeutd-bert-large-uncased-finetuned-ner/distribution
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- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-jorgeutd-bert-large-uncased-finetuned-ner/download-plan
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- Request mirror: not applicable.
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