> ## Documentation Index
> Fetch the complete documentation index at: https://docs.thistle.tech/llms.txt
> Use this file to discover all available pages before exploring further.

# TensorFlow Lite / LiteRT

> Secure model verification for TensorFlow Lite (LiteRT) models

TensorFlow Lite — now called **LiteRT** by Google — is the most widely used
runtime for embedded and mobile edge AI. Its lightweight `tflite-runtime` package
supports `.tflite` models on devices such as Raspberry Pi, Coral TPU, and mobile
platforms.

Models can be verified before creating an interpreter with the
[secure loader](/update/get_started/secure_model_verification#secure-loader-module-thistle_secure_loaderpy):

```python theme={"dark"}
import tflite_runtime.interpreter as tflite
from thistle_secure_loader import secure_load

def tflite_loader(path: str):
    return tflite.Interpreter(model_path=path)

MODEL_PATH = "model.tflite"

interpreter = secure_load(MODEL_PATH, tflite_loader)
interpreter.allocate_tensors()

print("TensorFlow Lite model verified and loaded securely.")
```

The `secure_load` call verifies the `.tflite` file's signature using `tuc`
before passing it to `tflite.Interpreter`. If the signature check fails, a
`ModelVerificationError` is raised and the model is never loaded.

### Requirements

```txt theme={"dark"}
ai-edge-litert>=2.1.0
```