Instructions to use webis/tite-2-late-upscale-msmarco with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Lightning IR
How to use webis/tite-2-late-upscale-msmarco with Lightning IR:
#install from https://github.com/webis-de/lightning-ir from lightning_ir import BiEncoderModule model = BiEncoderModule("webis/tite-2-late-upscale-msmarco") model.score("query", ["doc1", "doc2", "doc3"]) - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -27,7 +27,7 @@ We provide the following fine-tuned bi-encoder models for text ranking:
|
|
| 27 |
|
| 28 |
## Usage
|
| 29 |
|
| 30 |
-
See the [repository](https://github.com/webis-de/tite
|
| 31 |
|
| 32 |
## Citation
|
| 33 |
|
|
|
|
| 27 |
|
| 28 |
## Usage
|
| 29 |
|
| 30 |
+
See the [repository](https://github.com/webis-de/tite) for more information on how to use the or reproduce the model.
|
| 31 |
|
| 32 |
## Citation
|
| 33 |
|