Update the code snippets slightly

It seems to work well with that adjustment!

README.md

@@ -56,9 +56,17 @@ This is a [SpanMarker](https://github.com/tomaarsen/SpanMarkerNER) model trained
 ## Model Details
 
 Important Note: I used the Tokenizer from "roberta-base".
-```
-tokenizer = SpanMarkerTokenizer.from_pretrained("roberta-base", config=model.tokenizer.config)
-model.set_tokenizer(tokenizer)
+```diff
+from span_marker import SpanMarkerModel
+from span_marker.tokenizer import SpanMarkerTokenizer
+
+# Download from the 🤗 Hub
+model = SpanMarkerModel.from_pretrained("lambdavi/span-marker-luke-base-conll2003")
++tokenizer = SpanMarkerTokenizer.from_pretrained("roberta-base", config=model.tokenizer.config)
++model.set_tokenizer(tokenizer)
+
+# Run inference
+entities = model.predict("Portsmouth:Middlesex 199 and 426 (J. Pooley 111,M. Ramprakash 108,M. Gatting 83), Hampshire 232 and 109-5.")
 ```
 
 ### Model Description
@@ -89,9 +97,13 @@ model.set_tokenizer(tokenizer)
 
 ```python
 from span_marker import SpanMarkerModel
+from span_marker.tokenizer import SpanMarkerTokenizer
 
 # Download from the 🤗 Hub
-model = SpanMarkerModel.from_pretrained("span_marker_model_id")
+model = SpanMarkerModel.from_pretrained("lambdavi/span-marker-luke-base-conll2003")
+tokenizer = SpanMarkerTokenizer.from_pretrained("roberta-base", config=model.tokenizer.config)
+model.set_tokenizer(tokenizer)
+
 # Run inference
 entities = model.predict("Portsmouth:Middlesex 199 and 426 (J. Pooley 111,M. Ramprakash 108,M. Gatting 83), Hampshire 232 and 109-5.")
 ```