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@@ -55,3 +55,21 @@ with torch.no_grad():
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  output = tokenizer.decode(gen_outputs[i], skip_special_tokens=True)
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  print(output)
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  output = tokenizer.decode(gen_outputs[i], skip_special_tokens=True)
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  print(output)
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  ```
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+
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+ # Citation
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+ To appear in:
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+ ```
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+ @inproceedings{hromei2023extremita,
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+ author = {Claudiu Daniel Hromei and
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+ Danilo Croce and
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+ Valerio Basile and
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+ Roberto Basili},
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+ title = {ExtremITA at EVALITA 2023: Multi-Task Sustainable Scaling to Large Language Models at its Extreme},
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+ booktitle = {Proceedings of the Eighth Evaluation Campaign of Natural Language
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+ Processing and Speech Tools for Italian. Final Workshop (EVALITA 2023)},
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+ publisher = {CEUR.org},
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+ year = {2023},
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+ month = {September},
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+ address = {Parma, Italy}
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+ }
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+ ```