Sentence Similarity
sentence-transformers
Safetensors
bert
feature-extraction
dense
Generated from Trainer
dataset_size:8960
loss:MultipleNegativesRankingLoss
text-embeddings-inference
Instructions to use JW451609703/bar-de-bitext-labse with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use JW451609703/bar-de-bitext-labse with sentence-transformers:
from sentence_transformers import SentenceTransformer model = SentenceTransformer("JW451609703/bar-de-bitext-labse") sentences = [ "Ob'n im Dachstui is a Wespennest.", "Sie erwähnte ihn nie wieder.", "Tom hat nie vergessen, seine Hausaufgaben zu machen.", "Im Dachgeschoss gibt es ein Wespennest." ] embeddings = model.encode(sentences) similarities = model.similarity(embeddings, embeddings) print(similarities.shape) # [4, 4] - Notebooks
- Google Colab
- Kaggle
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