# Francesco-A/BiomedNLP-PubMedBERT-base-uncased-abstract-bc5cdr-ner-v1

Model from Hugging Face for token classification: Francesco-A/BiomedNLP-PubMedBERT-base-uncased-abstract-bc5cdr-ner-v1 · transformers

## Facts

- Type: LLM
- Task: token-classification
- Framework: transformers
- License: mit — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/MIT.html)
- Source: https://huggingface.co/Francesco-A/BiomedNLP-PubMedBERT-base-uncased-abstract-bc5cdr-ner-v1
- Hosting: hosted (5 files)
- Files: 5 hosted of 9 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, 436.3 MB
- Full repo upstream: 436.5 MB
- Recommended file: 435.6 MB · model.safetensors
- Download: https://huggingbay.xyz/artifact/hf-model-francesco-a-biomednlp-pubmedbert-base-uncased-abstract-bc5cdr-ner-v1/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-francesco-a-biomednlp-pubmedbert-base-uncased-abstract-bc5cdr-ner-v1/download-plan)
- Per-file SHA-256: available for 5 of 5 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-francesco-a-biomednlp-pubmedbert-base-uncased-abstract-bc5cdr-ner-v1/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: 307
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for Francesco-A/BiomedNLP-PubMedBERT-base-uncased-abstract-bc5cdr-ner-v1. Task: token classification. Library: transformers. Datasets referenced by card metadata: bc5cdr. Base model: microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract. Includes 4 model-card evaluation signals. Popularity signal at import: 7,491 downloads and 0 likes.

## Model Card Facts

- Declared license: mit
- Pipeline: token-classification
- Library: transformers
- Base model: microsoft/BiomedNLP-PubMedBERT-base-uncased-abstract
- Task categories: token-classification
- Referenced datasets: bc5cdr
- Metrics: precision, recall, f1, accuracy
- Model-index entries: BiomedNLP-PubMedBERT-base-uncased-abstract-bc5cdr-ner-v1
- Evaluation signals: 4 model-card eval results
- File hints: 9 upstream file samples

## Evaluation Signals

- bc5cdr: Precision = 0.8581588700791345 (Token Classification)
- bc5cdr: Recall = 0.897726081944881 (Token Classification)
- bc5cdr: F1 = 0.877496671105193 (Token Classification)
- bc5cdr: Accuracy = 0.9726919202313766 (Token Classification)

## Referenced Data

- Dataset: bc5cdr

## File Hints

- .gitattributes (1.5 KB)
- README.md (4.5 KB)
- config.json (913 B)
- model.safetensors (415 MB) LFS
- special_tokens_map.json (125 B)
- tokenizer.json (663 KB)
- tokenizer_config.json (1.2 KB)
- training_args.bin (5.2 KB) LFS
- vocab.txt (220 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 2026-09-21T22:32:03.424Z.
- Open license detected as mit.
- Model-index metadata found for BiomedNLP-PubMedBERT-base-uncased-abstract-bc5cdr-ner-v1.
- Model card references dataset context: bc5cdr.
- 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-francesco-a-biomednlp-pubmedbert-base-uncased-abstract-bc5cdr-ner-v1
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-francesco-a-biomednlp-pubmedbert-base-uncased-abstract-bc5cdr-ner-v1/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-francesco-a-biomednlp-pubmedbert-base-uncased-abstract-bc5cdr-ner-v1/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-francesco-a-biomednlp-pubmedbert-base-uncased-abstract-bc5cdr-ner-v1/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-francesco-a-biomednlp-pubmedbert-base-uncased-abstract-bc5cdr-ner-v1
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-francesco-a-biomednlp-pubmedbert-base-uncased-abstract-bc5cdr-ner-v1/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-francesco-a-biomednlp-pubmedbert-base-uncased-abstract-bc5cdr-ner-v1&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-francesco-a-biomednlp-pubmedbert-base-uncased-abstract-bc5cdr-ner-v1/decentralized-fallbacks