chincyk
/

deberta-v3-base-nli

Text Classification

natural-language-inference

Inference Endpoints

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chincyk commited on Sep 3

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e02aaf2

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1 Parent(s): 2ecf428

Update README.md

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@@ -34,8 +34,8 @@ model_name = "chincyk/deberta-v3-base-nli"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSequenceClassification.from_pretrained(model_name)
-premise = "I like playing computer games"
-hypothesis = "Computer games are useless"
 inputs = tokenizer(premise, hypothesis, return_tensors='pt')
 with torch.no_grad():

 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForSequenceClassification.from_pretrained(model_name)
+premise = "The flight arrived on time at the airport."
+hypothesis = "The flight was delayed by several hours."
 inputs = tokenizer(premise, hypothesis, return_tensors='pt')
 with torch.no_grad():