Text2Text Generation
Transformers
PyTorch
French
flash_t5
custom_code
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@@ -196,7 +196,15 @@ We invite you to consult the “Next stage” section of the blog post.
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  ## Citation
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  ```
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- The DOI must be generated once model in public
 
 
 
 
 
 
 
 
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  ```
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  <br>
 
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  ## Citation
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  ```
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+ @misc {FAT5,
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+ title = { FAT5: Flash Attention T5 },
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+ author = { Boris ALBAR and Loïck BOURDOIS },
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+ organization = { Centre Aquitain des Technologies de l'Information et Electroniques },
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+ year = 2025,
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+ url = { https://huggingface.co/spaces/CATIE-AQ/FAT5-report },
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+ doi = { 10.57967/hf/4160 },
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+ publisher = { Hugging Face }
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+ }
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  ```
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  <br>