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
Download qwen3vl-8b/visual_only/adapter.bin from LimitedMouse/Generative-Embedding-Benchmark-Checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 21 MB
-
https://huggingface.co/LimitedMouse/Generative-Embedding-Benchmark-Checkpoints/resolve/main/qwen3vl-8b/visual_only/adapter.bin
- Command line
-
hf download hf://LimitedMouse/Generative-Embedding-Benchmark-Checkpoints/qwen3vl-8b/visual_only/adapter.bin
-
curl -L -o adapter.bin https://huggingface.co/LimitedMouse/Generative-Embedding-Benchmark-Checkpoints/resolve/main/qwen3vl-8b/visual_only/adapter.bin
21 MB
- Xet hash:
- 70d3494fb75ece04c688fe9ee9270b84520dc5763683ba827ce127cc765c3c42
- Size of remote file:
- 21 MB
- SHA256:
- 2bdd5729338c2f8e3376922517bcccf24dc289aed4ea56af4f891a600bc9af06
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