Update README.md

README.md

@@ -16,7 +16,7 @@ datasets:
 #pipeline_tag:
 #- text-classification
 widget:
-- text: "I first thought that I really liked the movie, but upon second thought it was actually disappointing. [SEP] The movie was good."
+- text: "I first thought that I really liked the movie, but upon second thought it was actually disappointing. [SEP] The movie was not good."
 
 model-index:  # info: https://github.com/huggingface/hub-docs/blame/main/modelcard.md
 - name: DeBERTa-v3-large-mnli-fever-anli-ling-wanli
@@ -115,7 +115,7 @@ tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSequenceClassification.from_pretrained(model_name)
 
 premise = "I first thought that I liked the movie, but upon second thought it was actually disappointing."
-hypothesis = "The movie was good."
+hypothesis = "The movie was not good."
 
 input = tokenizer(premise, hypothesis, truncation=True, return_tensors="pt")
 output = model(input["input_ids"].to(device))  # device = "cuda:0" or "cpu"