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:
- f6e6009193ae4f3f8945e682970ad510cc498a6dc0cac3c89c934e26b55f1fed
- Size of remote file:
- 4 GB
- SHA256:
- 4510144d4c4e73171e39d74a2fdf63509b9196be60e3b677ee97af42b8933293
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