minilm-l12-grape-route

from transformers import pipeline

# Load the model
router = pipeline("text-classification", model="jrodriiguezg/minilm-l12-grape-route")

# Inference examples
commands = [
    "levanta un contenedor de nginx",       # Standard Docker command
    "haz un pin a google",                  # Network command with STT noise ("pin" instead of "ping")
    "borra el archivo de configuracion",    # File management
    "cuentame un chiste"                    # General chat
]

for cmd in commands:
    result = router(cmd)
    print(f"Command: {cmd} -> {result}")