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algebra_linear_1d

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
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@@ -32,7 +32,6 @@ tokenizer.decode(output[0])
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  Another examples:
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  - Solve 1112*r + 1418*r - 5220 = 587*r - 28536 for r. Answer: -12 Pred: -12
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- - Solve -547 = -62*t + 437 - 798 for t. Answer: 3 Pred: -1
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  - Solve -119*k + 6*k - 117 - 352 = 322 for k. Answer: -7 Pred: -7
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  - Solve 3*j - 3*j + 0*j - 4802 = 98*j for j. Answer: -49 Pred: -47
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  - Solve 3047*n - 6130*n - 1700 = -3049*n for n. Answer: -50 Pred: -25
 
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  Another examples:
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  - Solve 1112*r + 1418*r - 5220 = 587*r - 28536 for r. Answer: -12 Pred: -12
 
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  - Solve -119*k + 6*k - 117 - 352 = 322 for k. Answer: -7 Pred: -7
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  - Solve 3*j - 3*j + 0*j - 4802 = 98*j for j. Answer: -49 Pred: -47
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  - Solve 3047*n - 6130*n - 1700 = -3049*n for n. Answer: -50 Pred: -25