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-2b/visual_only/adapter.bin from LimitedMouse/Generative-Embedding-Benchmark-Checkpoints: direct link, hf CLI and curl.
- Browser
- Download file 12.6 MB
-
https://huggingface.co/LimitedMouse/Generative-Embedding-Benchmark-Checkpoints/resolve/main/qwen3vl-2b/visual_only/adapter.bin
- Command line
-
hf download hf://LimitedMouse/Generative-Embedding-Benchmark-Checkpoints/qwen3vl-2b/visual_only/adapter.bin
-
curl -L -o adapter.bin https://huggingface.co/LimitedMouse/Generative-Embedding-Benchmark-Checkpoints/resolve/main/qwen3vl-2b/visual_only/adapter.bin
12.6 MB
- Xet hash:
- f45dcc9becff4cdf39f1429941a11064f79af7a9d810ac59f814cb7fdc5ccb54
- Size of remote file:
- 12.6 MB
- SHA256:
- 09f14fadab4f57ca23481edc2ec2310b13af7db019d2b40ba1f9b632f2a0f23c
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