Update README.md

README.md

@@ -10,13 +10,11 @@ model-index:
 datasets:
 - agentlans/text-quality-v3
 ---
-Sure! Here’s a more concise and natural revision of your model card:
-
-# deberta-v3-base-zyda-2-v2-text-quality-v3
+# DeBERTa Text Quality Model
 
 ## Overview
 
-This model rates the **quality of English text** for AI learning. Input a text string, and it outputs a numeric quality score reflecting overall readability, informativeness, and usefulness.
+This model rates the **quality of English text** for AI learning. Input a text string, and it outputs a numeric quality score reflecting overall informativeness and usefulness.
 
 It’s fine-tuned from [agentlans/deberta-v3-base-zyda-2-v2](https://huggingface.co/agentlans/deberta-v3-base-zyda-2-v2) using the same dataset.
 
@@ -53,7 +51,7 @@ print(quality("Your text here."))
 
 - Works best on non-fiction and general-purpose texts.  
 - Scores give an overall quality estimate but don’t explain why.  
-- The model is large and slow; for faster results with similar accuracy, try `MyOtherModel`.  
+- The model is large and slow; for faster results with similar accuracy, try [agentlans/GIST-all-MiniLM-L6-v2-quality-v3](https://huggingface.co/agentlans/GIST-all-MiniLM-L6-v2-quality-v3.  
 - Check for biases and suitability before use.
 
 ## Training procedure