model update

app.py

@@ -19,7 +19,7 @@ def predict_similarity(question, candidate_answer, ai_answer):
 
     # Tokenize inputs
     inputs = tokenizer([candidate_combined, ai_combined],
-                       padding=True, truncation=True, max_length=11, return_tensors="np")
+                       padding=True, truncation=True, return_tensors="np")
 
     # Run inference
     ort_inputs = {

fine-tuned_all-distilroberta-v1_quantized.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:b3df341367812546bc086c5d3fa809bbde3a35dc89cc34cd5bff32dd0bd711f3
-size 82520985
+oid sha256:d1302f752e0972c9dd6db3658176bb1932d3edbc0961f4d3bf5f0143ebd468ca
+size 82521329