fix dtype missmatchint input and model's weight

modeling_hyperclovax.py

@@ -1135,7 +1135,8 @@ class HCXVisionForCausalLM(PreTrainedModel, GenerationMixin):
         inputs_embeds = (
             inputs_embeds.to(self.base_model.device) if isinstance(inputs_embeds, torch.Tensor) else inputs_embeds
         )
-
+        
+        inputs_embeds = inputs_embeds.to(dtype=self.base_model.dtype)
         # pred : torch.int64 : [batchsize, generated token_length]
         pred = self.language_model.generate(
             inputs_embeds=inputs_embeds,