Update README.md

README.md

@@ -195,6 +195,37 @@ print(nel_pipeline(sentence))
         'rOffset': 33}]
 ```
 
+----
+
+### Batched predictions
+
+```python
+from transformers import AutoTokenizer, pipeline
+
+NEL_MODEL_NAME = "impresso-project/nel-mgenre-multilingual"
+
+nel_tokenizer = AutoTokenizer.from_pretrained(NEL_MODEL_NAME)
+
+nel_pipeline = pipeline(
+    "generic-nel",
+    model=NEL_MODEL_NAME,
+    tokenizer=nel_tokenizer,
+    trust_remote_code=True,
+    device="cpu",
+)
+
+sentences = [
+    "Le 0ctobre 1894, [START] Dreyfvs [END] est arrêté à Paris.",
+    "En 1912, [START] Giollitti [END] était encore au pouvoir en Italie.",
+    "La ville de [START] Lpzbourg [END] est importante dans la région."
+]
+
+results = nel_pipeline(sentences)
+
+from pprint import pprint
+pprint(results)
+```
+
 The type of the entity is `UNK` because the model was not trained on the entity type. The `confidence_nel` score
 indicates the model's confidence in the prediction.