Fix: Ensure model is moved to same device as inputs in example code

## Description

The example code triggers the following runtime error during inference when using GPU:
```python
RuntimeError: Expected all tensors to be on the same device, but got index is on cuda:0, different from other tensors on cpu.
```

## Changes

Replaced:
```python
model = AutoModelForSequenceClassification.from_pretrained(model_name)
```
with:
```python
model = AutoModelForSequenceClassification.from_pretrained(model_name).to(device)
```

## Testing
The code has been successfully tested and runs without error.

## Note
This contribution is part of an ongoing research initiative to systematically identify and correct faulty example code in Hugging Face Model Cards.
We would appreciate a timely review and integration of this patch to support code reliability and enhance reproducibility for downstream users.

README.md

@@ -299,7 +299,7 @@ device = torch.device("cuda") if torch.cuda.is_available() else torch.device("cp
 
 model_name = "MoritzLaurer/DeBERTa-v3-base-mnli-fever-anli"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModelForSequenceClassification.from_pretrained(model_name)
+model = AutoModelForSequenceClassification.from_pretrained(model_name).to(device)
 
 premise = "I first thought that I liked the movie, but upon second thought it was actually disappointing."
 hypothesis = "The movie was good."