Visual Document Retrieval
sentence-transformers
Safetensors
qwen2_5_omni_thinker
multimodal
feature-extraction
Instructions to use Haon-Chen/e5-omni-3B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Haon-Chen/e5-omni-3B with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Haon-Chen/e5-omni-3B") sentences = [ "The weather is lovely today.", "It's so sunny outside!", "He drove to the stadium." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [3, 3] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- a547a24e25c9fd8bfbaa57c6f770ffcd19055084b21438ddb9205fb62f22e501
- Size of remote file:
- 1.2 kB
- SHA256:
- 67cb68eaafbfa5dba9c3ccf3789e1db5536e433a39698b84396c94f5020c6d59
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