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
File size: 300 Bytes
1062a43 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 | {
"__version__": {
"pytorch": "2.12.0+cu126",
"sentence_transformers": "5.5.1",
"transformers": "5.11.0"
},
"default_prompt_name": null,
"model_type": "SentenceTransformer",
"prompts": {
"document": "passage: ",
"query": "query: "
},
"similarity_fn_name": "cosine"
} |