Text Classification
Transformers
Safetensors
PyTorch
Burmese
English
xlm-roberta
sentiment
burmese
emilyyy04 commited on
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Update README.md

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@@ -114,4 +114,4 @@ outputs = model(**inputs)
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  predicted_class = torch.argmax(outputs.logits, dim=1).item()
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  label_map = {0: "positive", 1: "negative", 2: "neutral"}
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- print("Predicted Sentiment:", label_map[predicted_class])
 
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  predicted_class = torch.argmax(outputs.logits, dim=1).item()
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  label_map = {0: "positive", 1: "negative", 2: "neutral"}
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+ print("Predicted Sentiment:", label_map[predicted_class])