Update README.md

README.md

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----
-license: mit
----
+---
+language: ar
+base_model: faisalq/SaudiBERT
+tags:
+- eou
+- turn-taking
+- arabic
+- saudi
+---
+
+# Saudi Arabic End-of-Utterance (EOU) Model
+
+This is a fine-tuned **SaudiBERT** model for **End-of-Utterance (EOU) detection** in Saudi Arabic conversational text.
+
+## Task
+Binary classification:
+- 0 → Incomplete utterance
+- 1 → End of utterance
+
+## Training
+- Base model: faisalq/SaudiBERT
+- Data: Saudi Arabic conversational dataset
+- Loss: Focal Loss
+- Metric: F1-score
+
+## Usage
+```python
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+import torch
+
+tok = AutoTokenizer.from_pretrained("HussainKAUST/saudi-eou-model")
+mdl = AutoModelForSequenceClassification.from_pretrained("HussainKAUST/saudi-eou-model")
+
+x = tok("ابي احجز موعد بس ...", return_tensors="pt")
+p = torch.sigmoid(mdl(**x).logits).item()