l3cube-pune
commited on
Commit
•
974343a
1
Parent(s):
5213b74
Update README.md
Browse files
README.md
CHANGED
@@ -14,6 +14,17 @@ language: hi
|
|
14 |
This is a HindSBERT model (l3cube-pune/hindi-sentence-bert-nli) fine-tuned on the STS dataset. <br>
|
15 |
Released as a part of project MahaNLP : https://github.com/l3cube-pune/MarathiNLP <br>
|
16 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
17 |
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.
|
18 |
|
19 |
<!--- Describe your model here -->
|
@@ -74,7 +85,3 @@ sentence_embeddings = mean_pooling(model_output, encoded_input['attention_mask']
|
|
74 |
print("Sentence embeddings:")
|
75 |
print(sentence_embeddings)
|
76 |
```
|
77 |
-
|
78 |
-
## Citing & Authors
|
79 |
-
|
80 |
-
This will be updated soon, refer to the project page for now.
|
|
|
14 |
This is a HindSBERT model (l3cube-pune/hindi-sentence-bert-nli) fine-tuned on the STS dataset. <br>
|
15 |
Released as a part of project MahaNLP : https://github.com/l3cube-pune/MarathiNLP <br>
|
16 |
|
17 |
+
More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2211.11187)
|
18 |
+
|
19 |
+
```
|
20 |
+
@article{joshi2022l3cubemahasbert,
|
21 |
+
title={L3Cube-MahaSBERT and HindSBERT: Sentence BERT Models and Benchmarking BERT Sentence Representations for Hindi and Marathi},
|
22 |
+
author={Joshi, Ananya and Kajale, Aditi and Gadre, Janhavi and Deode, Samruddhi and Joshi, Raviraj},
|
23 |
+
journal={arXiv preprint arXiv:2211.11187},
|
24 |
+
year={2022}
|
25 |
+
}
|
26 |
+
```
|
27 |
+
|
28 |
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.
|
29 |
|
30 |
<!--- Describe your model here -->
|
|
|
85 |
print("Sentence embeddings:")
|
86 |
print(sentence_embeddings)
|
87 |
```
|
|
|
|
|
|
|
|