Instructions to use Sahajtomar/German-semantic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use Sahajtomar/German-semantic with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("Sahajtomar/German-semantic") 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
Adding `safetensors` variant of this model
#4 opened 11 months ago
by
SFconvertbot
License
#3 opened about 3 years ago
by
LearningMachines
add concrete dataset
#2 opened almost 4 years ago
by
PhilipMay
How did you train this model?
👍 4
#1 opened almost 4 years ago
by
PhilipMay