Feature Extraction
sentence-transformers
Safetensors
modernbert
ColBERT
PyLate
contextual-embeddings
sentence-similarity
Generated from Trainer
text-embeddings-inference
Instructions to use illuin-conteb/modern-colbert-insent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use illuin-conteb/modern-colbert-insent 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="illuin-conteb/modern-colbert-insent") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
Improve model card metadata and add license
#1 opened 12 months ago
by
nielsr