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@@ -33,4 +33,20 @@ output = model(tokenizer('a b c d a b c').unsqueeze(0))
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  print(tokenizer.decode(output.argmax(2)))
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  >>> [['bos', 'a', 'b', 'c', 'd', 'a', 'b', 'c']]
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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  print(tokenizer.decode(output.argmax(2)))
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  >>> [['bos', 'a', 'b', 'c', 'd', 'a', 'b', 'c']]
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+ ```
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+
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+
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+ ### 🙏Cite🙏
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+
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+
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+ ###### If you are interested in our paper, please feel free to cite it.
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+ ```
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+ @misc{weng2023neural,
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+ title={Neural Comprehension: Language Models with Compiled Neural Networks},
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+ author={Yixuan Weng and Minjun Zhu and Fei Xia and Bin Li and Shizhu He and Kang Liu and Jun Zhao},
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+ year={2023},
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+ eprint={2304.01665},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL}
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+ }
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  ```