Update modeling_deberta.py

modeling_deberta.py

@@ -1166,7 +1166,7 @@ class DebertaV2ForMaskedLM(DebertaV2PreTrainedModel):
     
         encoding = tokenizer(sequence, add_special_tokens=False, return_tensors="pt")
         num_words = max(i for i in encoding.word_ids() if i is not None) + 1
-        scored_mask = [i and i >= num_words - scored_length for i in encoding.word_ids()]
+        scored_mask = [i is not None and i >= num_words - scored_length for i in encoding.word_ids()]
         num_to_score = sum(scored_mask)
     
         tokens = encoding.input_ids.squeeze(0)