Sentence Similarity
Safetensors
sentence-transformers
English
PyLate
modernbert
ColBERT
embeddings
retrieval
feature-extraction
Generated from Trainer
dataset_size:1695819
loss:Contrastive
Eval Results (legacy)
text-embeddings-inference
🇪🇺 Region: EU
Instructions to use lightonai/ModernColBERT-embed-base-supervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lightonai/ModernColBERT-embed-base-supervised 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/ModernColBERT-embed-base-supervised") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
Update config_sentence_transformers.json
Browse files
config_sentence_transformers.json
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"model_type": "ColBERT",
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"__version__": {
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"sentence_transformers": "5.1.1",
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"transformers": "4.48.
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"pytorch": "2.
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},
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"prompts": {
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"query": "search_query: ",
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"document": "
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},
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"default_prompt_name": null,
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"similarity_fn_name": "MaxSim",
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"model_type": "ColBERT",
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"__version__": {
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"sentence_transformers": "5.1.1",
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"transformers": "4.48.3",
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"pytorch": "2.6.0"
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},
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"prompts": {
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"query": "search_query: ",
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"document": "search_document: "
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},
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"default_prompt_name": null,
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"similarity_fn_name": "MaxSim",
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