Sentence Similarity
sentence-transformers
Safetensors
German
bert
feature-extraction
loss:MatryoshkaLoss
custom_code
text-embeddings-inference
Instructions to use aari1995/German_Semantic_V3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use aari1995/German_Semantic_V3b with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("aari1995/German_Semantic_V3b", trust_remote_code=True) sentences = [ "Ein Mann übt Boxen", "Ein Affe praktiziert Kampfsportarten.", "Eine Person faltet ein Blatt Papier.", "Eine Frau geht mit ihrem Hund spazieren." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
leaderboard for german?
#1
by mhollomey - opened
It seems to be better than sentence-transformers/sentence-t5-xxl. Is there any leaderboard for german? Great job!
Hi there , thank you very much!
We‘re working with MTEB on it, will inform you as soon as there is something.
Yet it is always valuable to check what model performs best on Your task.
All the best