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
Ctrl+K
PDF features with 30%% dropout: page_count, text_density, fonts, aspect_ratio from PosterSentry
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