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README.md
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@@ -14,6 +14,8 @@ The prediction labels may assume three possible values:
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1. Train [paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2) on the NLI task;
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2. Apply Knowledge Distillation on the output of (1.) with IT-EN translation dataset to retain NLI knowledge and improve Italian language comprehension.
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# Usage #1 (HuggingFace Transformers)
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In the environment on which you want to run the project, type:
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```markdown
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1. Train [paraphrase-multilingual-mpnet-base-v2](https://huggingface.co/sentence-transformers/paraphrase-multilingual-mpnet-base-v2) on the NLI task;
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2. Apply Knowledge Distillation on the output of (1.) with IT-EN translation dataset to retain NLI knowledge and improve Italian language comprehension.
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More details available in the paper!: https://arxiv.org/abs/2309.02887
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# Usage #1 (HuggingFace Transformers)
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In the environment on which you want to run the project, type:
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```markdown
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