Create README.md

README.md

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+```python
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+import torch
+
+model_name = "SCM-LAB/fluency-phobert-v2"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+text = "Paris nằm ở chỗ nào?"
+inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
+outputs = model(**inputs)
+predicted_probabilities = torch.softmax(outputs.logits, dim=1)
+predicted_probabilities = predicted_probabilities.tolist()[0]  # Chuyển tensor thành list
+predicted_class = torch.argmax(outputs.logits, dim=1).item()
+
+print("Nonfluency", predicted_probabilities[0])
+print("Fluency"   , predicted_probabilities[1])
+```