added other details

generic_nel.py

@@ -107,8 +107,8 @@ class NelPipeline(Pipeline):
         # Generate predictions using the model
         outputs = self.model.generate(
             **self.tokenizer([text], return_tensors="pt").to(self.device),
-            num_beams=5,
-            num_return_sequences=5,
+            num_beams=1,
+            num_return_sequences=1,
             max_new_tokens=30,
         )