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
Integrate with Sentence Transformers v5.4
#2
by tomaarsen HF Staff - opened
Hello!
Pull Request overview
- Integrate with Sentence Transformers v5.4
Details
This is a companion PR to https://huggingface.co/Haon-Chen/e5-omni-7B/discussions/1, following the same implementation. Please let me know if you have any questions!
- Tom Aarsen
tomaarsen changed pull request status to open
Haon-Chen changed pull request status to merged