Sentence Similarity
Safetensors
sentence-transformers
English
PyLate
modernbert
ColBERT
late-interaction
feature-extraction
legal
contracts
clause-retrieval
retrieval
text-embeddings-inference
Instructions to use kmad00/legal-colbert-clause-retriever with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use kmad00/legal-colbert-clause-retriever 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="kmad00/legal-colbert-clause-retriever") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c910cc080d02dcf8f158d38952176fd0f68206c11a3328be6417cb1f654a326
- Size of remote file:
- 596 MB
- SHA256:
- 3a7fc1eed36a0b343e0a80b5e262bf93b04cb49a20e9b6e79a11b2df3e9777db
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