README.md

---
license: apache-2.0
language:
- ko
metrics:
- accuracy
- recall
tags:
- multimodal
- audio
- video
- homecam
- transformer
datasets:
- SilverAvocado/SilverDataset
---
## Load Model For Inference

```python
# 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}")