Delete smodelpipeline.py

smodelpipeline.py

@@ -1,23 +0,0 @@
-from transformers import Pipeline
-from sentence_transformers import SentenceTransformer
-import torch
-
-class SentimentModelPipe(Pipeline):
-
-    def __init__(self, **kwargs):
-        Pipeline.__init__(self, **kwargs)
-        self.smodel = SentenceTransformer(kwargs.get("embedding_model", "sentence-transformers/all-MiniLM-L6-v2"))
-
-    def _sanitize_parameters(self, **kw):
-        return {}, {}, {}
-
-    def preprocess(self, inputs):
-        return self.smodel.encode(inputs, convert_to_tensor=True)
-    
-    def postprocess(self, outputs):
-        return outputs.argmax(1).item()
-    
-    def _forward(self, tensor):
-        with torch.no_grad():
-            out = self.model(tensor)
-        return out