Sentence Similarity
sentence-transformers
Safetensors
German
bert
feature-extraction
loss:MatryoshkaLoss
custom_code
text-embeddings-inference
Instructions to use ImranzamanML/German_Semantic_V3b_Optimised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use ImranzamanML/German_Semantic_V3b_Optimised with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("ImranzamanML/German_Semantic_V3b_Optimised", 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
GGUF Format
#1
by kalle07 - opened
Hey,
i have tried to contact
aari1995/German_Semantic_V3b
in comment but maybe he has other prios
you have any idea how to convert to GGUF?
like nomic and bge and many other have done?