# MayZhou/e5-small-lora-ai-generated-detector

Model from Hugging Face for text classification: MayZhou/e5-small-lora-ai-generated-detector · 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/MayZhou/e5-small-lora-ai-generated-detector
- Hosting: unknown (no download location recorded)
- Files: 9 listed, none hosted here
- 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: availability unknown
- Full repo upstream: 134.4 MB
- Download: none recorded
- Per-file SHA-256: not available (no files hosted on Hugging Bay)
- 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: 459
- Stars: 9
- Card completeness: 96%

## Description

External Hugging Face catalog record for MayZhou/e5-small-lora-ai-generated-detector. Task: text classification. Library: transformers. Datasets referenced by card metadata: liamdugan/raid. Includes 1 model-card evaluation signal. Popularity signal at import: 2,944 downloads and 9 likes.

## Model Card Facts

- Declared license: mit
- Pipeline: text-classification
- Library: transformers
- Task categories: text-classification
- Referenced datasets: liamdugan/raid
- Metrics: accuracy, f1, roc_auc
- Model-index entries: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors
- Evaluation signals: 1 model-card eval result
- File hints: 9 upstream file samples

## Evaluation Signals

- RAID-test: accuracy = 0.939 (text-classification)

## Referenced Data

- Dataset: liamdugan/raid

## File Hints

- .gitattributes (1.5 KB)
- README.md (9.5 KB)
- config.json (643 B)
- handler.py (809 B)
- model.safetensors (127 MB) LFS
- special_tokens_map.json (695 B)
- tokenizer.json (695 KB)
- tokenizer_config.json (1.2 KB)
- 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: pending

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-09-22T05:38:03.523Z.
- Open license detected as mit.
- Model-index metadata found for A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors.
- Model card references dataset context: liamdugan/raid.
- Not locally hosted, mirrored, signed, or rescanned by Hugging Bay.
- 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-mayzhou-e5-small-lora-ai-generated-detector
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-mayzhou-e5-small-lora-ai-generated-detector/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-mayzhou-e5-small-lora-ai-generated-detector/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-mayzhou-e5-small-lora-ai-generated-detector/distribution
- Manifest: not available until files are hosted and release checks pass.
- Request mirror: POST https://huggingbay.xyz/api/artifacts/hf-model-mayzhou-e5-small-lora-ai-generated-detector/mirror-request
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-mayzhou-e5-small-lora-ai-generated-detector/decentralized-fallbacks