FritzStack
/

mpnet_MH_embedding

Feature Extraction

sentence-transformers

sentence-similarity

Generated from Trainer

dataset_size:4615

loss:TripletLoss

text-embeddings-inference

Model card Files Files and versions

FritzStack commited on Nov 15, 2025

Commit

ca46782

·

verified ·

1 Parent(s): 9605bfe

Update README.md

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@@ -114,9 +114,9 @@ from sentence_transformers import SentenceTransformer
 model = SentenceTransformer("FritzStack/mpnet_MH_embedding")
 # Run inference
 sentences = [
-    '',
-    '',
-    '',
 ]
 embeddings = model.encode(sentences)
 print(embeddings.shape)

 model = SentenceTransformer("FritzStack/mpnet_MH_embedding")
 # Run inference
 sentences = [
+    'I do not feel sad',
+    'I feel sad',
+    'I feel sad all of the time',
 ]
 embeddings = model.encode(sentences)
 print(embeddings.shape)