Clean up use_this_model.py to use only Hugging Face Hub

- Remove local fallback, use only hf_hub_download
- Script now properly demonstrates model usage from published hub
- Model successfully downloads and works for Vietnamese text classification

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>

use_this_model.py

@@ -11,34 +11,13 @@ import numpy as np
 
 def load_model_from_hub():
     """Load the pre-trained model from Hugging Face Hub"""
-    try:
-        print("Downloading model from Hugging Face Hub...")
-        model_path = hf_hub_download("undertheseanlp/sonar_core_1", "sklearn_model.joblib")
-        print(f"Model downloaded to: {model_path}")
+    print("Downloading model from Hugging Face Hub...")
+    model_path = hf_hub_download("undertheseanlp/sonar_core_1", "sklearn_model.joblib")
+    print(f"Model downloaded to: {model_path}")
 
-        print("Loading model...")
-        model = joblib.load(model_path)
-        return model
-    except Exception as e:
-        print(f"Error downloading from Hub: {e}")
-        print("\nFalling back to local model for demonstration...")
-
-        # Try to find local model
-        from pathlib import Path
-        runs_dir = Path("runs")
-        if runs_dir.exists():
-            run_dirs = [d for d in runs_dir.iterdir() if d.is_dir()]
-            run_dirs.sort()
-
-            for run_dir in reversed(run_dirs):
-                models_dir = run_dir / "models"
-                if models_dir.exists():
-                    for model_file in models_dir.glob("*.pkl"):
-                        if "VNTC" in model_file.name:
-                            print(f"Using local model: {model_file}")
-                            return joblib.load(model_file)
-
-        raise FileNotFoundError("No model available. Please upload model to Hugging Face Hub or train locally.")
+    print("Loading model...")
+    model = joblib.load(model_path)
+    return model
 
 
 def predict_vntc_examples(model):