Remove limitation due to v1.4.0 patch

README.md

@@ -82,18 +82,4 @@ model = SpanMarkerModel.from_pretrained("tomaarsen/span-marker-xlm-roberta-base-
 entities = model.predict("Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic to Paris .")
 ```
 
-### Limitations
-
-**Warning**: This model works best when punctuation is separated from the prior words, so 
-```python
-# ✅
-model.predict("He plays J. Robert Oppenheimer , an American theoretical physicist .")
-# ❌
-model.predict("He plays J. Robert Oppenheimer, an American theoretical physicist.")
-
-# You can also supply a list of words directly: ✅
-model.predict(["He", "plays", "J.", "Robert", "Oppenheimer", ",", "an", "American", "theoretical", "physicist", "."])
-```
-The same may be beneficial for some languages, such as splitting `"l'ocean Atlantique"` into `"l' ocean Atlantique"`.
-
 See the [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) repository for documentation and additional information on this library.