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/ColBERT-Zero-supervised with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sentence-transformers
How to use lightonai/ColBERT-Zero-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/ColBERT-Zero-supervised") queries_emb = model.encode(queries, is_query=True) docs_emb = model.encode(documents, is_query=False) - Notebooks
- Google Colab
- Kaggle
File size: 785 Bytes
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"model_type": "ColBERT",
"__version__": {
"sentence_transformers": "5.1.1",
"transformers": "4.48.3",
"pytorch": "2.6.0"
},
"prompts": {
"query": "search_query: ",
"document": "search_document: "
},
"default_prompt_name": null,
"similarity_fn_name": "MaxSim",
"query_prefix": "[Q] ",
"document_prefix": "[D] ",
"query_length": 39,
"document_length": 519,
"attend_to_expansion_tokens": false,
"skiplist_words": [
"!",
"\"",
"#",
"$",
"%",
"&",
"'",
"(",
")",
"*",
"+",
",",
"-",
".",
"/",
":",
";",
"<",
"=",
">",
"?",
"@",
"[",
"\\",
"]",
"^",
"_",
"`",
"{",
"|",
"}",
"~"
],
"do_query_expansion": false
} |