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:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("LimitedMouse/Generative-Embedding-Benchmark-Checkpoints", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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Download README.md from LimitedMouse/Generative-Embedding-Benchmark-Checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 1.09 kB
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https://huggingface.co/LimitedMouse/Generative-Embedding-Benchmark-Checkpoints/resolve/1aae1a77c8f9e9fa3deaf5e4e603876d28ddeb87/README.md
- Command line
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hf download hf://LimitedMouse/Generative-Embedding-Benchmark-Checkpoints@1aae1a77c8f9e9fa3deaf5e4e603876d28ddeb87/README.md
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curl -L -o README.md https://huggingface.co/LimitedMouse/Generative-Embedding-Benchmark-Checkpoints/resolve/1aae1a77c8f9e9fa3deaf5e4e603876d28ddeb87/README.md
1.09 kB
metadata
license: apache-2.0
library_name: transformers
tags:
- generative-embedding
- multimodal
- benchmark
GEB Decoder Checkpoints
Official decoder checkpoints for Generative Embedding Benchmark.
| Embedder | Mode | Subfolder |
|---|---|---|
| Qwen3-VL-Embedding-2B | Visual-only | qwen3vl-2b/visual_only |
| Qwen3-VL-Embedding-2B | VL-joint | qwen3vl-2b/vl_joint |
| Qwen3-VL-Embedding-8B | Visual-only | qwen3vl-8b/visual_only |
| Qwen3-VL-Embedding-8B | VL-joint | qwen3vl-8b/vl_joint |
Each checkpoint contains the trained Qwen3-0.6B readout and its embedding adapter. The embedding model itself is not bundled. Use the matching embedder and evaluation mode shown above.
Install and evaluate through the code repository:
pip install -e '.[eval]'
NPROC=8 BATCH_SIZE=16 bash scripts/evaluate_paper.sh \
qwen3vl-2b auto test visual_only
The checkpoints are intended for reproducing the GEB paper results. The Qwen models and upstream evaluation datasets remain subject to their own licenses.