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@@ -23,4 +23,16 @@ inputs = tokenizer(text, return_tensors="pt")
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  with torch.no_grad():
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  outputs = model(**inputs).last_hidden_state
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  print(outputs.shape)
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
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  with torch.no_grad():
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  outputs = model(**inputs).last_hidden_state
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  print(outputs.shape)
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+ ```
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+ ## 引用
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+
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+ Bibtex:
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+
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+ ```tex
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+ @techreport{zhuiyiroformer,
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+ title={RoFormer: Transformer with Rotary Position Embeddings - ZhuiyiAI},
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+ author={Jianlin Su},
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+ year={2021},
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+ url="https://github.com/ZhuiyiTechnology/roformer",
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+ }
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  ```