Update README.md

README.md

@@ -13,7 +13,7 @@ For simplified binary moderation tasks, the model can be used to produce a singl
 
 DuoGuard-1B-Llama-3.2-transfer is built upon Llama-3.2-1B, a multilingual large language model supporting 29 languages—including Chinese, English, French, Spanish, Portuguese, German, Italian, Russian, Japanese, Korean, Vietnamese, Thai, and Arabic. We directly leverage the training data developed fro DuoGuard-0.5B to train Llama-3.2-1B and obtain DuoGuard-1.5B-transfer. Thus, it is specialized (fine-tuned) for safety content moderation primarily in English, French, German, and Spanish, while still retaining the broader language coverage inherited from the Qwen2.5 base model. It is provided with open weights.
 ## How to Use
-A quick code snippet or set of instructions on how to load and use your model in an application or script:
+A quick code snippet or set of instructions on how to load and use the model in an application:
 ```python
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch