Sentence Similarity
ONNX
Safetensors
sentence-transformers
PyLate
modernbert
ColBERT
multi-vector
feature-extraction
multilingual
code search
text-embeddings-inference
🇪🇺 Region: EU
Instructions to use lightonai/mLateOn with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lightonai/mLateOn 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="lightonai/mLateOn") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
Commit History
16 days ago
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Re-export model.onnx and model_int8.onnx from model.safetensors; fix onnx_config and tokenizer_config (#3)
- Re-export model.onnx and model_int8.onnx from model.safetensors; fix onnx_config and tokenizer_config (9bc86b0d069d5d4947106f9001b897beb71580f3)bbd883a
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Add Sentence Transformers usage (#1)
- Add Sentence Transformers usage (42b0710da4344d52755787ee4151d8890e24cc5d) - Add ### PyLate section heading after the ST snippet (b392a9479727b90c4578952321a952a27c99caef) Co-authored-by: Tom Aarsen <tomaarsen@users.noreply.huggingface.co>edd378f
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Update citation to arXiv paper and add arxiv tag
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Initial commit
Co-authored-by: Paulo de Moura <Paulo de Moura@users.noreply.huggingface.co> Co-authored-by: ameliechatelain <ameliechatelain@users.noreply.huggingface.co> Co-authored-by: NohTow <NohTow@users.noreply.huggingface.co> Co-authored-by: raphaelsty <raphaelsty@users.noreply.huggingface.co>98696c6