Playing with other models.

app.py

@@ -19,10 +19,10 @@ app.add_middleware(
 )
 # "xenova/deberta-v3-base-tasksource-nli" Not impressed
 
-model_name = "MoritzLaurer/deberta-v3-large-zeroshot-v2.0" # "xenova/mobilebert-uncased-mnli"
+model_name = "Xenova/bart-large-mnli" # "xenova/mobilebert-uncased-mnli"
 file_name = "onnx/model_quantized.onnx"
-tokenizer_name = model_name # "typeform/mobilebert-uncased-mnli"
-model = ORTModelForSequenceClassification.from_pretrained(model_name)
+tokenizer_name = "facebook/bart-large-mnli" # "typeform/mobilebert-uncased-mnli"
+model = ORTModelForSequenceClassification.from_pretrained(model_name, file_name=file_name)
 tokenizer = AutoTokenizer.from_pretrained(tokenizer_name, model_max_length=512)
 
 # file = cached_download("https://huggingface.co/" + model_name + "")