Update README.md

README.md

@@ -9,7 +9,7 @@
 ## Model Details
 
 RADAR-Vicuna-7B is an AI-text detector trained via adversrial learning between the detector and a paraphraser on human-text corpus([OpenWebText](https://huggingface.co/datasets/Skylion007/openwebtext)) and ai-text corpus generated 
-from [OpenWebText](https://huggingface.co/datasets/Skylion007/openwebtext).
+based on [OpenWebText](https://huggingface.co/datasets/Skylion007/openwebtext).
 
 - **Developed by:** [TrustSafeAI](https://huggingface.co/TrustSafeAI)
 - **Model type:** An encoder-only language model based on the transformer architecture.
@@ -27,7 +27,7 @@ Users could use this detector to assist them in detecting text generated by larg
 Please be noted that this detector is trained on ai-text generated by Vicuna-7B-v1.1. As the model only supports [non-commercial use](https://huggingface.co/lmsys/vicuna-7b-v1.1#model-details), the intended users are **not allowed to involve this detector into commercial activities**.
 
 ## Get Started with the Model
-Please refer the following guidelines to see how to locally run the downloaded model or use our API service hosted on Huggingface Space.
+Please refer to the following guidelines to see how to locally run the downloaded model or use our API service hosted on Huggingface Space.
 - Google Colab Demo: https://colab.research.google.com/drive/1r7mLEfVynChUUgIfw1r4WZyh9b0QBQdo?usp=sharing 
 - Huggingface API Documentation: https://trustsafeai-radar-ai-text-detector.hf.space/?view=api