AfnanSD/arabic-eou-bertv2

Arabic EOU Detection Model

Fine-tuned aubmindlab/bert-base-arabertv2 for binary end-of-utterance detection in Saudi Arabic conversational speech.

Labels

• 0: Not end of utterance
• 1: End of utterance

Intended Use

Real-time conversational agents and turn-taking systems.

Example

from transformers import AutoTokenizer, AutoModelForSequenceClassification
import torch

tokenizer = AutoTokenizer.from_pretrained("YOUR_USERNAME/arabic-eou-bertv2")
model = AutoModelForSequenceClassification.from_pretrained("YOUR_USERNAME/arabic-eou-bertv2")

inputs = tokenizer("تمام خلاص", return_tensors="pt")
prob = torch.softmax(model(**inputs).logits, dim=-1)[0,1].item()