# synapti/nci-binary-detector-v2

Model from Hugging Face for text classification: synapti/nci-binary-detector-v2 · transformers

## Facts

- Type: LLM
- Task: text-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/synapti/nci-binary-detector-v2
- Hosting: hosted (5 files)
- Files: 5 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: at least 5 listed files; full count and size unknown
- Full repo upstream: 1.2 GB
- Recommended file: 598.4 MB · model.safetensors
- Download: https://huggingbay.xyz/artifact/hf-model-synapti-nci-binary-detector-v2/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-synapti-nci-binary-detector-v2/download-plan)
- Per-file SHA-256: available for 3 of 5 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-synapti-nci-binary-detector-v2/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: 51
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for synapti/nci-binary-detector-v2. Task: text classification. Library: transformers. Languages: en. Datasets referenced by card metadata: synapti/nci-binary-classification. Base model: answerdotai/ModernBERT-base. Includes 4 model-card evaluation signals. Popularity signal at import: 97 downloads and 0 likes.

## Model Card Facts

- Declared license: apache-2.0
- Pipeline: text-classification
- Library: transformers
- Base model: answerdotai/ModernBERT-base
- Task categories: text-classification
- Languages: en
- Referenced datasets: synapti/nci-binary-classification
- Metrics: accuracy, f1, precision, recall
- Model-index entries: nci-binary-detector-v2
- Evaluation signals: 4 model-card eval results
- File hints: 13 upstream file samples

## Evaluation Signals

- NCI Binary Classification: Accuracy = 0.994 (Binary Propaganda Detection)
- NCI Binary Classification: F1 = 0.994 (Binary Propaganda Detection)
- NCI Binary Classification: Precision = 0.989 (Binary Propaganda Detection)
- NCI Binary Classification: Recall = 1 (Binary Propaganda Detection)

## Referenced Data

- Dataset: synapti/nci-binary-classification

## File Hints

- .gitattributes (1.5 KB)
- README.md (5.8 KB)
- config.json (1.4 KB)
- model.safetensors (571 MB) LFS
- onnx/config.json (1.5 KB)
- onnx/model.onnx (571 MB) LFS
- onnx/special_tokens_map.json (694 B)
- onnx/tokenizer.json (3.4 MB)
- onnx/tokenizer_config.json (21 KB)
- special_tokens_map.json (694 B)
- tokenizer.json (3.4 MB)
- tokenizer_config.json (20 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 2026-09-24T09:25:40.554Z.
- Open license detected as apache-2.0.
- Model-index metadata found for nci-binary-detector-v2.
- Model card references dataset context: synapti/nci-binary-classification.
- 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-synapti-nci-binary-detector-v2
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- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-synapti-nci-binary-detector-v2/distribution
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- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-synapti-nci-binary-detector-v2/download-plan
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