# adhwiraj/ai-content-detector-roberta-v1

Model from Hugging Face for text classification: adhwiraj/ai-content-detector-roberta-v1 · transformers

## Facts

- Type: LLM
- Task: text-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/adhwiraj/ai-content-detector-roberta-v1
- Hosting: hosted (6 files)
- Files: 6 hosted of 7 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, 502.2 MB
- Full repo upstream: 502.2 MB
- Recommended file: 498.6 MB · model.safetensors
- Download: https://huggingbay.xyz/artifact/hf-model-adhwiraj-ai-content-detector-roberta-v1/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-adhwiraj-ai-content-detector-roberta-v1/download-plan)
- Per-file SHA-256: available for 6 of 6 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-adhwiraj-ai-content-detector-roberta-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: 21
- Stars: 0
- Card completeness: 96%

## Description

External Hugging Face catalog record for adhwiraj/ai-content-detector-roberta-v1. Task: text classification. Library: transformers. Languages: en. Base model: roberta-base. Includes 3 model-card evaluation signals. Popularity signal at import: 41 downloads and 0 likes.

## Model Card Facts

- Declared license: mit
- Pipeline: text-classification
- Library: transformers
- Base model: roberta-base
- Task categories: text-classification
- Languages: en
- Metrics: f1, accuracy, roc-auc
- Model-index entries: ai-content-detector-roberta-v1
- Evaluation signals: 3 model-card eval results
- File hints: 7 upstream file samples

## Evaluation Signals

- ai-content-detector-roberta-v1: Test F1 = 0.9736 (AI Content Detection)
- ai-content-detector-roberta-v1: Test Accuracy = 0.9757 (AI Content Detection)
- ai-content-detector-roberta-v1: Test ROC-AUC = 0.9972 (AI Content Detection)

## File Hints

- .gitattributes (1.5 KB)
- README.md (1.2 KB)
- config.json (876 B)
- model.safetensors (476 MB) LFS
- tokenizer.json (3.4 MB)
- tokenizer_config.json (375 B)
- training_summary.json (1.5 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 2026-08-30T08:48:29.908Z.
- Open license detected as mit.
- Model-index metadata found for ai-content-detector-roberta-v1.
- 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-adhwiraj-ai-content-detector-roberta-v1
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-adhwiraj-ai-content-detector-roberta-v1/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-adhwiraj-ai-content-detector-roberta-v1/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-adhwiraj-ai-content-detector-roberta-v1/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-adhwiraj-ai-content-detector-roberta-v1
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-adhwiraj-ai-content-detector-roberta-v1/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-adhwiraj-ai-content-detector-roberta-v1&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-adhwiraj-ai-content-detector-roberta-v1/decentralized-fallbacks