Arabic-Speech-Guard

Arabic Speech Guard 🛡️

Arabic-Speech-Guard is an Arabic text classification model fine-tuned on AraBERT to detect offensive and harmful speech.

Labels

• 0 → Neutral
• 1 → Offensive

Model Details

• Base model: aubmindlab/bert-base-arabertv2
• Task: Arabic Offensive Speech Detection
• Language: Arabic

Usage

from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch

model_name = "USERNAME/Arabic-Speech-Guard"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForSequenceClassification.from_pretrained(model_name)

text = "اكتب النص هنا"

inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True)
with torch.no_grad():
    outputs = model(**inputs)

prediction = torch.argmax(outputs.logits, dim=1).item()
print("Prediction:", "Danger" if prediction == 1 else "Safe")