Text Classification
Safetensors
llama
custom_code
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Update README.md

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@@ -69,7 +69,7 @@ with torch.no_grad():
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  score2 = model(resp2['input_ids'],attention_mask=resp2['attention_mask']).logits[0][0].item()
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  print(score1,score2)
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- # Response 1 score: 1.9437446594238281, Response 2 score: 12.005132675170898
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  ```
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  # Reference
 
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  score2 = model(resp2['input_ids'],attention_mask=resp2['attention_mask']).logits[0][0].item()
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  print(score1,score2)
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+ # Response 1 score: 2.3285412788391113, Response 2 score: 12.438033103942871
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  ```
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  # Reference