Sentence Similarity
sentence-transformers
Safetensors
German
English
ministral3
feature-extraction
retrieval
german
mteb
Instructions to use malteos/most-embed-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use malteos/most-embed-de with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("malteos/most-embed-de") sentences = [ "Das ist eine glückliche Person", "Das ist ein glücklicher Hund", "Das ist eine sehr glückliche Person", "Heute ist ein sonniger Tag" ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 52190a2f65b824d0652ed9ea541eab65d7af10cafa445d9933ff7bc2d81f8886
- Size of remote file:
- 17.1 MB
- SHA256:
- 39973f835cec6b4b5c9bd5b49a5ee121a5c51614b16206184ac0219b15c3fe91
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