Instructions to use modularStarEncoder/ModularStarEncoder-finetuned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use modularStarEncoder/ModularStarEncoder-finetuned with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="modularStarEncoder/ModularStarEncoder-finetuned", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("modularStarEncoder/ModularStarEncoder-finetuned", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
Update README.md
Browse files
README.md
CHANGED
|
@@ -96,4 +96,18 @@ Here we briefly show our codeSearchNet (codeXGLUE) results between different lay
|
|
| 96 |
- (* size and corresponding projection head present in this model)
|
| 97 |
|
| 98 |
## Licence
|
| 99 |
-
The model is licensed under the BigCode OpenRAIL-M v1 license agreement. You can find the full agreement [here](https://huggingface.co/spaces/bigcode/bigcode-model-license-agreement).
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 96 |
- (* size and corresponding projection head present in this model)
|
| 97 |
|
| 98 |
## Licence
|
| 99 |
+
The model is licensed under the BigCode OpenRAIL-M v1 license agreement. You can find the full agreement [here](https://huggingface.co/spaces/bigcode/bigcode-model-license-agreement).
|
| 100 |
+
|
| 101 |
+
|
| 102 |
+
# Citation
|
| 103 |
+
```
|
| 104 |
+
@article{gurioli2025modeltrainallhierarchical,
|
| 105 |
+
title={One Model to Train them All: Hierarchical Self-Distillation for Enhanced Early Layer Embeddings},
|
| 106 |
+
author={Andrea Gurioli and Federico Pennino and João Monteiro and Maurizio Gabbrielli},
|
| 107 |
+
year={2025},
|
| 108 |
+
eprint={2503.03008},
|
| 109 |
+
archivePrefix={arXiv},
|
| 110 |
+
primaryClass={cs.CL},
|
| 111 |
+
url={https://arxiv.org/abs/2503.03008},
|
| 112 |
+
}
|
| 113 |
+
```
|