Instructions to use LimitedMouse/Generative-Embedding-Benchmark-Checkpoints with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LimitedMouse/Generative-Embedding-Benchmark-Checkpoints with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LimitedMouse/Generative-Embedding-Benchmark-Checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add code and dataset navigation badges
Browse files
README.md
CHANGED
|
@@ -9,6 +9,11 @@ tags:
|
|
| 9 |
|
| 10 |
# GEB Decoder Checkpoints
|
| 11 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 12 |
This repository provides the official Qwen decoder checkpoints for the
|
| 13 |
[Generative Embedding Benchmark](https://github.com/LimitedMouse/Generative-Embedding-Benchmark).
|
| 14 |
The GitHub repository is the main entry point for installation, training, and
|
|
|
|
| 9 |
|
| 10 |
# GEB Decoder Checkpoints
|
| 11 |
|
| 12 |
+
<div align="center">
|
| 13 |
+
<a href="https://github.com/LimitedMouse/Generative-Embedding-Benchmark"><img src="https://img.shields.io/badge/GitHub-Code-lightgrey" alt="GitHub Code"></a>
|
| 14 |
+
<a href="https://huggingface.co/datasets/LimitedMouse/Generative-Embedding-Benchmark"><img src="https://img.shields.io/badge/%F0%9F%A4%97%20Hugging%20Face-Dataset-blue" alt="Hugging Face Dataset"></a>
|
| 15 |
+
</div>
|
| 16 |
+
|
| 17 |
This repository provides the official Qwen decoder checkpoints for the
|
| 18 |
[Generative Embedding Benchmark](https://github.com/LimitedMouse/Generative-Embedding-Benchmark).
|
| 19 |
The GitHub repository is the main entry point for installation, training, and
|