Update README.md

README.md

@@ -28,7 +28,7 @@ This model is based on [microsoft/deberta-v3-base](https://huggingface.co/micros
 * [SummaC Benchmark](https://aclanthology.org/2022.tacl-1.10.pdf) (Test Split) - 0.764 Balanced Accuracy, 0.831 AUC Score
 * [AnyScale Ranking Test for Hallucinations](https://www.anyscale.com/blog/llama-2-is-about-as-factually-accurate-as-gpt-4-for-summaries-and-is-30x-cheaper) - 86.6 % Accuracy
 
-## Usage
+## Usage with Sentencer Transformers (Recommended)
 
 The model can be used like this:
 
@@ -53,7 +53,7 @@ array([0.61051559, 0.00047493709, 0.99639291, 0.00021221573, 0.99599433, 0.00141
 ```
 
 ## Usage with Transformers AutoModel
-You can use the model also directly with Transformers library (without SentenceTransformers library):
+You can use the model also directly with Transformers library (without the SentenceTransformers library):
 
 ```python
 from transformers import AutoTokenizer, AutoModelForSequenceClassification