UAlbertaUAIS
/

Chelberta

Text Classification

sentiment analysis

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UAlbertaUAIS commited on Sep 2

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@@ -45,6 +45,7 @@ model = model.merge_and_unload()
 classifier = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer, max_length = 512, truncation=True, device=0)
 classifier("Connor McDavid is good at hockey!")
 ```
 [{'label': 'positive', 'score': 0.9888942837715149}]
 ```

 classifier = pipeline("sentiment-analysis", model=model, tokenizer=tokenizer, max_length = 512, truncation=True, device=0)
 classifier("Connor McDavid is good at hockey!")
 ```
+```
 [{'label': 'positive', 'score': 0.9888942837715149}]
 ```