Sentence Similarity
Transformers
Safetensors
PyTorch
English
qwen2_5_vl
feature-extraction
video
retrieval
embedding
multimodal
qwen2.5-vl
custom_code
Instructions to use Alibaba-NLP/GVE-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alibaba-NLP/GVE-7B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Alibaba-NLP/GVE-7B", trust_remote_code=True) model = AutoModel.from_pretrained("Alibaba-NLP/GVE-7B", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a7030cf2e58dead38199a68a8cd6f6f1a609a6072d7fb38ba5f85b3bb7e21557
- Size of remote file:
- 11.4 MB
- SHA256:
- 9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
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