Text Classification
Transformers
PyTorch
Romanian
vgcn
offensive language
graph neural networks
gnn
custom_code
Instructions to use andyP/ro-offense-model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use andyP/ro-offense-model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="andyP/ro-offense-model", trust_remote_code=True)# Load model directly from transformers import AutoModelForSequenceClassification model = AutoModelForSequenceClassification.from_pretrained("andyP/ro-offense-model", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
metadata
license: apache-2.0
datasets:
- readerbench/ro-offense
language:
- ro
metrics:
- f1
library_name: transformers
pipeline_tag: text-classification
tags:
- offensive language
- graph neural networks
- gnn