Parametrize similarity#392
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| self._deberta.to(self.device) | ||
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| if "v2" in self.deberta_path or "v3" in self.deberta_path: |
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It seems that the if-else is unnecessary, since everything should work with AutoModelForSequenceClassification and AutoTokenizer
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similarity_modelwhich contains parameters for NLI and CrossEncoder models.hf_cacheparameter (can be regulated globally with HF_HOME)