Sentence Similarity
Safetensors
sentence-transformers
PyLate
lfm2
liquid
edge
ColBERT
feature-extraction
Eval Results (legacy)
Instructions to use LiquidAI/LFM2-ColBERT-350M with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use LiquidAI/LFM2-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-ColBERT-350M") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
Add new_version pointer to LFM2.5-ColBERT-350M
#7
by davanstrien HF Staff - opened
README.md
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@@ -38,6 +38,7 @@ metrics:
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- MaxSim_ndcg@10
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- MaxSim_mrr@10
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- MaxSim_map@100
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model-index:
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- name: PyLate
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results:
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- MaxSim_ndcg@10
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- MaxSim_mrr@10
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- MaxSim_map@100
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new_version: LiquidAI/LFM2.5-ColBERT-350M
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model-index:
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- name: PyLate
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results:
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