Messing with configuration.

app.py

@@ -28,9 +28,11 @@ print(f"CUDA device: {torch.cuda.get_device_name(torch.cuda.current_device())}")
 # "Xenova/distilbert-base-uncased-mnli" "typeform/distilbert-base-uncased-mnli" Bad answers
 # "Xenova/deBERTa-v3-base-mnli" "MoritzLaurer/DeBERTa-v3-base-mnli" Still a bit slow and not great answers
 # "xenova/nli-deberta-v3-small" "cross-encoder/nli-deberta-v3-small" Was using this for a good while and it was...okay
-# model_name = "MoritzLaurer/deberta-v3-base-zeroshot-v2.0"
-# file_name = "onnx/model.onnx"
-# tokenizer_name = "MoritzLaurer/deberta-v3-base-zeroshot-v2.0"
+
+model_name = "MoritzLaurer/deberta-v3-base-zeroshot-v2.0"
+file_name = "onnx/model.onnx"
+tokenizer_name = "MoritzLaurer/deberta-v3-base-zeroshot-v2.0"
+
 model = ORTModelForSequenceClassification.from_pretrained(model_name, file_name=file_name, export=True, provider="CUDAExecutionProvider")
 tokenizer = AutoTokenizer.from_pretrained(tokenizer_name, model_max_length=512)