Create README.md

README.md

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+## Load Model For Inference
+
+### Hugging Face Hub에서 모델 다운로드
+MODEL_PATH="silver_assistant_transformer.keras"
+model_path = hf_hub_download(repo_id="SilverAvocado/silverAssistant", filename=MODEL_PATH)
+
+### 사용자 정의 클래스 로드
+model = load_model(
+    model_path,
+    custom_objects={
+        "PositionalEncoding": PositionalEncoding,
+        "AttentionPooling1D": AttentionPooling1D
+    }
+)
+
+
+y_pred = np.argmax(model.predict([X_test1, X_test2, X_test3, X_test4]), axis=1)
+accuracy = accuracy_score(y_test, y_pred)
+print(f"Test Accuracy: {accuracy:.4f}")