Update README.md
Browse files
README.md
CHANGED
|
@@ -1,3 +1,6 @@
|
|
|
|
|
|
|
|
|
|
|
| 1 |
`SweRankEmbed-Small` is a 137M bi-encoder supporting 8192 context length for code retrieval. It significantly outperforms other embedding models on the issue localization task.
|
| 2 |
|
| 3 |
The model has been trained on large-scale issue localization data collected from public python github repositories. Check out our [blog post](https://gangiswag.github.io/SweRank/) and [paper](https://arxiv.org/abs/2505.07849) for more details!
|
|
|
|
| 1 |
+
---
|
| 2 |
+
license: cc-by-nc-4.0
|
| 3 |
+
---
|
| 4 |
`SweRankEmbed-Small` is a 137M bi-encoder supporting 8192 context length for code retrieval. It significantly outperforms other embedding models on the issue localization task.
|
| 5 |
|
| 6 |
The model has been trained on large-scale issue localization data collected from public python github repositories. Check out our [blog post](https://gangiswag.github.io/SweRank/) and [paper](https://arxiv.org/abs/2505.07849) for more details!
|