Feature Extraction
Transformers
Safetensors
English
Korean
multilingual
qwen3_vl
vision-language
embedding
multimodal-embedding
mmeb
digital-forensics
custom_code
Instructions to use Urock-AI/Eddy-vl_embedding_1.9B_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Urock-AI/Eddy-vl_embedding_1.9B_v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="Urock-AI/Eddy-vl_embedding_1.9B_v1", trust_remote_code=True)# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("Urock-AI/Eddy-vl_embedding_1.9B_v1", trust_remote_code=True) model = AutoModel.from_pretrained("Urock-AI/Eddy-vl_embedding_1.9B_v1", trust_remote_code=True) - Notebooks
- Google Colab
- Kaggle
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# Eddy-VL Embedding 1.9B
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[Urock-AI](https://huggingface.co/Urock-AI) · [urock.kr](https://urock.kr/) · License: Apache 2.0
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<p align="center">
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<img src="logo.png" alt="Eddy — Urock-AI" width="100%" />
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</p>
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# Eddy-VL Embedding 1.9B
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[Urock-AI](https://huggingface.co/Urock-AI) · [urock.kr](https://urock.kr/) · License: Apache 2.0
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