# bibbbu/multilingual-ai-human-detector_xlm-roberta-base

Model from Hugging Face for text classification: bibbbu/multilingual-ai-human-detector_xlm-roberta-base · 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/bibbbu/multilingual-ai-human-detector_xlm-roberta-base
- Hosting: hosted (4 files)
- Files: 4 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: 4 files, 1.13 GB
- Full repo upstream: 1.13 GB
- Recommended file: 1.11 GB (2 files)
- Download: https://huggingbay.xyz/artifact/hf-model-bibbbu-multilingual-ai-human-detector-xlm-roberta-base/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-bibbbu-multilingual-ai-human-detector-xlm-roberta-base/download-plan)
- Per-file SHA-256: available for 4 of 4 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-bibbbu-multilingual-ai-human-detector-xlm-roberta-base/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: 129
- Stars: 1
- Card completeness: 96%

## Description

External Hugging Face catalog record for bibbbu/multilingual-ai-human-detector_xlm-roberta-base. Task: text classification. Library: transformers. Languages: en, zh, vi. Base model: FacebookAI/xlm-roberta-base. Includes 4 model-card evaluation signals. Popularity signal at import: 456 downloads and 1 likes.

## Model Card Facts

- Declared license: mit
- Pipeline: text-classification
- Library: transformers
- Base model: FacebookAI/xlm-roberta-base
- Task categories: text-classification
- Languages: en, zh, vi
- Metrics: f1
- Model-index entries: multilingual-ai-human-detector_xlm-roberta-base
- Evaluation signals: 4 model-card eval results
- File hints: 7 upstream file samples

## Evaluation Signals

- Multilingual QA corpus (HC3 / HC3-Chinese / Vietnamese Reddit): F1 (overall, EN+ZH+VI test set) = 0.971 (AI-generated vs human-written text detection)
- Multilingual QA corpus (HC3 / HC3-Chinese / Vietnamese Reddit): F1 (English) = 0.989 (AI-generated vs human-written text detection)
- Multilingual QA corpus (HC3 / HC3-Chinese / Vietnamese Reddit): F1 (Chinese) = 0.9462 (AI-generated vs human-written text detection)
- Multilingual QA corpus (HC3 / HC3-Chinese / Vietnamese Reddit): F1 (Vietnamese) = 0.9783 (AI-generated vs human-written text detection)

## File Hints

- .gitattributes (1.5 KB)
- README.md (5.5 KB)
- config.json (812 B)
- model.safetensors (1.0 GB) LFS
- tokenizer.json (16 MB) LFS
- tokenizer_config.json (343 B)
- training_args.bin (5.0 KB) LFS

## 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 2026-09-23T01:13:14.419Z.
- Open license detected as mit.
- Model-index metadata found for multilingual-ai-human-detector_xlm-roberta-base.
- 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-bibbbu-multilingual-ai-human-detector-xlm-roberta-base
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- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-bibbbu-multilingual-ai-human-detector-xlm-roberta-base/download-plan
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