Update README.md

README.md

@@ -39,7 +39,24 @@ WIP 🚧
 
 ## How to use with `transformers`
 
-TBA
+```py
+from transformers import BartForConditionalGeneration, BartTokenizer
+
+model_id = "mrm8488/bart-legal-base-es"
+
+model = BartForConditionalGeneration.from_pretrained(model_id, forced_bos_token_id=0)
+tokenizer = BartTokenizer.from_pretrained(model_id)
+
+def fill_mask_span(text):
+  batch = tokenizer(text, return_tensors="pt")
+  generated_ids = model.generate(batch["input_ids"])
+  print(tokenizer.batch_decode(generated_ids, skip_special_tokens=True))
+
+text = "Los españoles son <mask> ante la ley."
+fill_mask_span(text)
+# ['Los españoles son iguales ante la ley.1.ª y 2.ª ante la']
+
+```
 
 ## Acknowledgments