Testing1

final.py

@@ -14,7 +14,9 @@ nlp = spacy.load("en_core_web_sm")
 # Load the trained ML model
 model_path = "./results/checkpoint-753"  # Replace with the actual path to your model
 # tokenizer = AutoTokenizer.from_pretrained('microsoft/deberta-v3-small')
-tokenizer = AutoTokenizer.from_pretrained('microsoft/deberta-v3-small', use_fast=False)
+# tokenizer = AutoTokenizer.from_pretrained('microsoft/deberta-v3-small', use_fast=False)
+from transformers import DebertaV2Tokenizer
+tokenizer = DebertaV2Tokenizer.from_pretrained('microsoft/deberta-v3-small')
 model = AutoModelForSequenceClassification.from_pretrained(model_path)
 model.eval()