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:
- f3f80795d87b2b2699c2ab2e5e88cf25d7c8ddeb67cdd68cd9e076a63e13d4b3
- Size of remote file:
- 628 kB
- SHA256:
- 79f8e01809cf5d24cf04ed7745f7063fa4f60175729d393b084900e857cf102e
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