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@@ -148,4 +148,20 @@ sampling_params = SamplingParams(temperature=0, max_tokens=128)
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  prompts = [prompter.generate_prompt(instruction, input) for instruction, input in instruction_input_pairs]
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  responses = vllm_model.generate(prompts, sampling_params)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```
 
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  prompts = [prompter.generate_prompt(instruction, input) for instruction, input in instruction_input_pairs]
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  responses = vllm_model.generate(prompts, sampling_params)
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+ ```
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+
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+ ## Citation
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+
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+ If you find SLIMER-IT useful in your research or work, please cite the following paper:
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+
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+ ``` latex
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+ @misc{zamai2024slimeritzeroshotneritalian,
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+ title={SLIMER-IT: Zero-Shot NER on Italian Language},
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+ author={Andrew Zamai and Leonardo Rigutini and Marco Maggini and Andrea Zugarini},
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+ year={2024},
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+ eprint={2409.15933},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2409.15933},
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+ }
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  ```