Upload README.md
Browse files
README.md
CHANGED
|
@@ -761,6 +761,9 @@ model-index:
|
|
| 761 |
name: Maxsim Map@100
|
| 762 |
---
|
| 763 |
|
|
|
|
|
|
|
|
|
|
| 764 |
# PyLate model based on Alibaba-NLP/gte-modernbert-base
|
| 765 |
|
| 766 |
This is a [PyLate](https://github.com/lightonai/pylate) model trained on the [ms-marco-en-bge-gemma](https://huggingface.co/datasets/lightonai/ms-marco-en-bge-gemma) dataset. It maps sentences & paragraphs to sequences of 128-dimensional dense vectors and can be used for semantic textual similarity using the MaxSim operator.
|
|
|
|
| 761 |
name: Maxsim Map@100
|
| 762 |
---
|
| 763 |
|
| 764 |
+
<img src="https://cdn-uploads.huggingface.co/production/uploads/609bbe2f4932693ca2009d6a/X6-ZJz9YsRWiSHdmO4ad6.png" width="500" height="auto">
|
| 765 |
+
|
| 766 |
+
# GTE-ModernColBERT-v1
|
| 767 |
# PyLate model based on Alibaba-NLP/gte-modernbert-base
|
| 768 |
|
| 769 |
This is a [PyLate](https://github.com/lightonai/pylate) model trained on the [ms-marco-en-bge-gemma](https://huggingface.co/datasets/lightonai/ms-marco-en-bge-gemma) dataset. It maps sentences & paragraphs to sequences of 128-dimensional dense vectors and can be used for semantic textual similarity using the MaxSim operator.
|