Train Edge Vision Models with Qwen2.5-VL and ZenML

                      
                     
import os
from zenml.pipelines import pipeline
from zenml.steps import step
from typing import List, Dict

# Configuration
MODEL_PATH = os.getenv('MODEL_PATH', 'model/qwen2.5-vl')
DATASET_PATH = os.getenv('DATASET_PATH', 'data/dataset')

# Step to load data
@step
def load_data() -> List[Dict]:
    try:
        # Load and preprocess the dataset
        data = []  # Placeholder for loaded data
        # Implement data loading logic here
        return data
    except Exception as e:
        print(f'Error loading data: {e}')
        return []

# Step to train the model
@step
def train_model(data: List[Dict]) -> None:
    try:
        # Placeholder for model training logic
        print(f'Training model with {len(data)} samples...')
        # Implement model training logic here
    except Exception as e:
        print(f'Error training model: {e}')

# Pipeline definition
@pipeline
def training_pipeline():
    data = load_data()
    train_model(data)

# Main execution
if __name__ == '__main__':
    training_pipeline().run()