Hugging Face's logo

flax-sentence-embeddings
/
multi-qa_v1-mpnet-mean_cos

Sentence Similarity
sentence-transformers
PyTorch
mpnet
feature-extraction
Inference Endpoints
Model card Files Community
Trent Oh commited on
Commit
47dcad4
•
1 Parent(s): 5090622

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +1 -1
README.md CHANGED
@@ -30,7 +30,7 @@ Here is how to use this model to get the features of a given text using [Sentenc
30
  ```python
31
  from sentence_transformers import SentenceTransformer
32
 
33
- model = SentenceTransformer('flax-sentence-embeddings/mpnet_stackexchange_v1')
34
  text = "Replace me by any question / answer you'd like."
35
  text_embbedding = model.encode(text)
36
  # array([-0.01559514, 0.04046123, 0.1317083 , 0.00085931, 0.04585106,
 
30
  ```python
31
  from sentence_transformers import SentenceTransformer
32
 
33
+ model = SentenceTransformer('flax-sentence-embeddings/multi-qa_v1-mpnet-mean_cos')
34
  text = "Replace me by any question / answer you'd like."
35
  text_embbedding = model.encode(text)
36
  # array([-0.01559514, 0.04046123, 0.1317083 , 0.00085931, 0.04585106,