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README.md
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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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# 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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```
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