# vineetsharma/BioMedical_NER-maccrobat-bert

Model from Hugging Face for token classification: vineetsharma/BioMedical_NER-maccrobat-bert · 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/vineetsharma/BioMedical_NER-maccrobat-bert
- Hosting: hosted (5 files)
- Files: 5 hosted of 10 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, 436.6 MB
- Full repo upstream: 872.7 MB
- Recommended file: 871.7 MB (3 files)
- Download: https://huggingbay.xyz/artifact/hf-model-vineetsharma-biomedical-ner-maccrobat-bert/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-vineetsharma-biomedical-ner-maccrobat-bert/download-plan)
- Per-file SHA-256: available for 5 of 5 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-vineetsharma-biomedical-ner-maccrobat-bert/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: 48
- Stars: 2
- Card completeness: 96%

## Description

External Hugging Face catalog record for vineetsharma/BioMedical_NER-maccrobat-bert. Task: token classification. Library: transformers. Datasets referenced by card metadata: ktgiahieu/maccrobat2018_2020. Base model: bert-base-uncased. Files we host have a published SHA-256.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: token-classification
- Library: transformers
- Base model: bert-base-uncased
- Task categories: token-classification
- Referenced datasets: ktgiahieu/maccrobat2018_2020
- Metrics: precision, recall, f1, accuracy
- Model-index entries: BioMedical_NER-maccrobat-bert
- File hints: 10 upstream file samples

## Referenced Data

- Dataset: ktgiahieu/maccrobat2018_2020

## File Hints

- .gitattributes (1.5 KB)
- README.md (7.2 KB)
- config.json (4.8 KB)
- model.safetensors (416 MB) LFS
- pytorch_model.bin (416 MB) LFS
- special_tokens_map.json (125 B)
- tokenizer.json (695 KB)
- tokenizer_config.json (314 B)
- training_args.bin (4.0 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 2026-10-01T07:11:34.357Z.
- Open license detected as apache-2.0.
- Model-index metadata found for BioMedical_NER-maccrobat-bert.
- Model card references dataset context: ktgiahieu/maccrobat2018_2020.
- 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-vineetsharma-biomedical-ner-maccrobat-bert
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-vineetsharma-biomedical-ner-maccrobat-bert/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-vineetsharma-biomedical-ner-maccrobat-bert/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-vineetsharma-biomedical-ner-maccrobat-bert/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-vineetsharma-biomedical-ner-maccrobat-bert
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-vineetsharma-biomedical-ner-maccrobat-bert/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-vineetsharma-biomedical-ner-maccrobat-bert&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-vineetsharma-biomedical-ner-maccrobat-bert/decentralized-fallbacks