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") - Notebooks
- Google Colab
- Kaggle
| { | |
| "model_type": "model2vec", | |
| "architectures": [ | |
| "StaticModel" | |
| ], | |
| "tokenizer_name": "baai/bge-base-en-v1.5", | |
| "apply_pca": 512, | |
| "apply_zipf": true, | |
| "hidden_dim": 512, | |
| "seq_length": 1000000, | |
| "normalize": true, | |
| "embedding_dtype": "float32" | |
| } |