Feature Extraction
sentence-transformers
ONNX
mteb
Sentence Transformers
sentence-similarity
arxiv:1803.11175
arxiv:1907.04307
Instructions to use dayyass/universal-sentence-encoder-multilingual-large-3-pytorch with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use dayyass/universal-sentence-encoder-multilingual-large-3-pytorch with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("dayyass/universal-sentence-encoder-multilingual-large-3-pytorch") 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
Welcome to the community
The community tab is the place to discuss and collaborate with the HF community!