Update README.md

README.md

@@ -92,7 +92,7 @@ pipeline_mlm = pipeline(task="fill-mask", model=model, tokenizer=tokenizer)
 <h3>Limitations</h3>
 
 This lightweight model is mainly trained on Wikipedia, so it's particularly suitable as an agile analyzer for large volumes of natively digital text 
-from the world wide web, written in a correct and fluent form (like wikis, web pages, news, etc.). Hpwever, it may show limitations when it comes to chaotic text, containing errors and slang expressions
+from the world wide web, written in a correct and fluent form (like wikis, web pages, news, etc.). However, it may show limitations when it comes to chaotic text, containing errors and slang expressions
 (like social media posts) or when it comes to domain-specific text (like medical, financial or legal content).
 
 <h3>References</h3>