Feature Extraction
Transformers
Safetensors
English
Korean
multilingual
qwen3_5
vision-language
embedding
multimodal-embedding
mmeb
custom_code
Instructions to use Urock-AI/eddy-vl_embedding_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Urock-AI/eddy-vl_embedding_v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Urock-AI/eddy-vl_embedding_v2", trust_remote_code=True)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Urock-AI/eddy-vl_embedding_v2", trust_remote_code=True) model = AutoModel.from_pretrained("Urock-AI/eddy-vl_embedding_v2", trust_remote_code=True, device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
6 days ago
-
Add eddy-vl embedding v2
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