add model max length

blimp.py

@@ -185,7 +185,9 @@ class Blimp(evaluate.Metric):
         model.eval()
 
         tokenizer = AutoTokenizer.from_pretrained(
-            model_id, trust_remote_code=trust_remote_code
+            model_id,
+            trust_remote_code=trust_remote_code,
+            max_model_length=150,
         )
 
         # if batch_size > 1 (which generally leads to padding being required), and