Upload config

config.json

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+{
+  "auto_map": {
+    "AutoConfig": "config.SentimentConfig"
+  },
+  "class_map": {
+    "0": "sad",
+    "1": "joy",
+    "2": "love",
+    "3": "anger",
+    "4": "fear",
+    "5": "surprise"
+  },
+  "embedding_model": "all-MiniLM-L6-v2",
+  "h1": 44,
+  "h2": 46,
+  "model_type": "SententenceTransformerSentimentClassifier",
+  "transformers_version": "4.29.0"
+}

config.py

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+from transformers import PretrainedConfig
+
+
+mp = {0:'sad',1:'joy',2:'love',3:'anger',4:'fear',5:'surprise'}
+
+class SentimentConfig(PretrainedConfig):
+    model_type = "SententenceTransformerSentimentClassifier"
+
+    def __init__(self, embedding_model: str="all-MiniLM-L6-v2", class_map: dict=mp, h1: int=44, h2: int=46, **kwargs):
+        self.embedding_model = embedding_model
+        self.class_map = class_map
+        self.h1 = h1
+        self.h2 = h2
+
+        super().__init__(**kwargs)