Create README.md

README.md

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+# 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
+```python
+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()