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
| { | |
| "__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" | |
| } |