Sentence Similarity
Safetensors
sentence-transformers
PyLate
lfm2
liquid
lfm2.5
edge
ColBERT
multi-vector
feature-extraction
custom_code
Instructions to use LiquidAI/LFM2.5-ColBERT-350M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LiquidAI/LFM2.5-ColBERT-350M 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="LiquidAI/LFM2.5-ColBERT-350M") 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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Fix transformers 5.x loading and add Sentence Transformers usage (#3)
- Fix transformers 5.x loading and add Sentence Transformers usage (8b16d8fe7ccafeaef534dd2544fd0198056254ef) - Update README example to bf16 MaxSim scores (fca4379622acba3b7e22c282d4af0cded3b9b4cc) Co-authored-by: Tom Aarsen <tomaarsen@users.noreply.huggingface.co>9772bdf
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Update README.md
Verified signature59633c2
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readme: add base_model for model-tree linkage
Verified signatured6d91b3 -
Initial release
Co-authored-by: mlabonne <mlabonne@users.noreply.huggingface.co> Co-authored-by: Satyen <Satyen@users.noreply.huggingface.co>ac509ef