Text Classification
Model2Vec
Safetensors
English
pubguard
document-classification
scientific-papers
ai-detection
toxicity-detection
pubverse
publication-screening
quality-control
Instructions to use jimnoneill/pub-guard with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Model2Vec
How to use jimnoneill/pub-guard with Model2Vec:
from model2vec import StaticModel model = StaticModel.from_pretrained("jimnoneill/pub-guard") embeddings = model.encode(["It's dangerous to go alone!", "It's a secret to everybody."]) print(embeddings.shape) - Notebooks
- Google Colab
- Kaggle
Commit History
-
Fix gate: only scientific_paper passes
Verified signaturea731017 -
Fix gate: only scientific_paper passes
Verified signature048e5c2 -
Updated with real poster data support + poster pass-through gate
Verified signature2cab1ae -
Updated with real poster data support + poster pass-through gate
Verified signature6878a93 -
Updated with real poster data support + poster pass-through gate
Verified signaturec35ea25 -
Updated with real poster data support + poster pass-through gate
Verified signaturebc2f6a0
-
Remove error module imports from __init__.py
Verified signature863b047 -
Remove errors.py (internal only)
Verified signatured8edf55 -
Upload src/pubguard/classifier.py with huggingface_hub
Verified signaturef3101a4 -
Upload src/pubguard/train.py with huggingface_hub
Verified signature85de43a -
Upload src/pubguard/cli.py with huggingface_hub
Verified signaturecd3adb9 -
Upload src/pubguard/config.py with huggingface_hub
Verified signature0b39aef -
Upload src/pubguard/text.py with huggingface_hub
Verified signature23c2fec -
Upload src/pubguard/__init__.py with huggingface_hub
Verified signaturee1fe580 -
Upload src/pubguard/data.py with huggingface_hub
Verified signature0bf5290 -
Upload src/pubguard/errors.py with huggingface_hub
Verified signature3e68bea