Sentence Similarity
Safetensors
sentence-transformers
German
PyLate
bert
ColBERT
multi-vector
text-embeddings-inference
Instructions to use samheym/GerColBERT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use samheym/GerColBERT with sentence-transformers:
from pylate import models queries = [ "Which planet is known as the Red Planet?", "What is the largest planet in our solar system?", ] documents = [ ["Mars is the Red Planet.", "Venus is Earth's twin."], ["Jupiter is the largest planet.", "Saturn has rings."], ] model = models.ColBERT(model_name_or_path="samheym/GerColBERT") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
Commit History
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Add Sentence Transformers usage (#1)
- Add Sentence Transformers usage (3f58295bdbeb3072926243cb9b9f1435c45a755b) Co-authored-by: Tom Aarsen <tomaarsen@users.noreply.huggingface.co>9393707
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