Remove a redundant variable. (#27288)

* Removed the redundant SiLUActivation class and now use nn.functional.silu directly.

* I apologize for adding torch.functional.silu. I have replaced it with nn.SiLU.

* Remove redundant variable in feature_extraction file

src/transformers/pipelines/feature_extraction.py

@@ -77,8 +77,7 @@ class FeatureExtractionPipeline(Pipeline):
         return preprocess_params, {}, postprocess_params
 
     def preprocess(self, inputs, **tokenize_kwargs) -> Dict[str, GenericTensor]:
-        return_tensors = self.framework
-        model_inputs = self.tokenizer(inputs, return_tensors=return_tensors, **tokenize_kwargs)
+        model_inputs = self.tokenizer(inputs, return_tensors=self.framework, **tokenize_kwargs)
         return model_inputs
 
     def _forward(self, model_inputs):