Hugging Face's logo

l3cube-pune
/
marathi-sentence-similarity-sbert

Sentence Similarity
sentence-transformers
PyTorch
Transformers
Marathi
bert
feature-extraction
text-embeddings-inference
Inference Endpoints
Model card Files Community
2
l3cube-pune commited on
Commit
05a218b
•
1 Parent(s): 309fd04

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +2 -2
README.md CHANGED
@@ -71,10 +71,10 @@ Other Monolingual Indic sentence BERT models are listed below: <br>
71
  <a href='https://huggingface.co/l3cube-pune/malayalam-sentence-bert-nli'> Malayalam SBERT</a> <br>
72
  <a href='https://huggingface.co/l3cube-pune/tamil-sentence-bert-nli'> Tamil SBERT</a> <br>
73
  <a href='https://huggingface.co/l3cube-pune/gujarati-sentence-bert-nli'> Gujarati SBERT</a> <br>
74
- <a href='https://huggingface.co/l3cube-pune/odia-sentence-bert-nli'> Oriya </a> SBERT<br>
75
  <a href='https://huggingface.co/l3cube-pune/bengali-sentence-bert-nli'> Bengali SBERT</a> <br>
76
  <a href='https://huggingface.co/l3cube-pune/punjabi-sentence-bert-nli'> Punjabi SBERT</a> <br>
77
- <a href='https://huggingface.co/l3cube-pune/punjabi-sentence-bert-nli'> Indic SBERT (multilingual)</a> <br>
78
 
79
 
80
  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
71
  <a href='https://huggingface.co/l3cube-pune/malayalam-sentence-bert-nli'> Malayalam SBERT</a> <br>
72
  <a href='https://huggingface.co/l3cube-pune/tamil-sentence-bert-nli'> Tamil SBERT</a> <br>
73
  <a href='https://huggingface.co/l3cube-pune/gujarati-sentence-bert-nli'> Gujarati SBERT</a> <br>
74
+ <a href='https://huggingface.co/l3cube-pune/odia-sentence-bert-nli'> Oriya SBERT</a> <br>
75
  <a href='https://huggingface.co/l3cube-pune/bengali-sentence-bert-nli'> Bengali SBERT</a> <br>
76
  <a href='https://huggingface.co/l3cube-pune/punjabi-sentence-bert-nli'> Punjabi SBERT</a> <br>
77
+ <a href='https://huggingface.co/l3cube-pune/indic-sentence-bert-nli'> Indic SBERT (multilingual)</a> <br>
78
 
79
 
80
  This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.