aari1995
/

German_Semantic_STS_V2

Sentence Similarity

sentence-transformers

feature-extraction

retrieval augmented generation

Eval Results (legacy)

text-embeddings-inference

Model card Files Files and versions

aari1995 commited on Jun 5, 2023

Commit

d9afa6e

·

1 Parent(s): b30a21d

Update README.md

Files changed (1) hide show

README.md +1 -1

README.md CHANGED Viewed

@@ -41,7 +41,7 @@ Then you can use the model like this:
 from sentence_transformers import SentenceTransformer
 sentences = ["This is an example sentence", "Each sentence is converted"]
-model = SentenceTransformer('aari1995/gBERT-large-sts-v2')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```

 from sentence_transformers import SentenceTransformer
 sentences = ["This is an example sentence", "Each sentence is converted"]
+model = SentenceTransformer('aari1995/German_Semantic_STS_V2')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```