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ColBERT-Zero-supervised

Sentence Similarity
Safetensors
sentence-transformers
English
PyLate
modernbert
ColBERT
multi-vector
embeddings
retrieval
feature-extraction
Generated from Trainer
dataset_size:1695819
loss:Contrastive
Eval Results (legacy)
text-embeddings-inference
🇪🇺 Region: EU
Model card Files
xet
 Community
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tomaarsen HF Staff commited on
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1 Parent(s): 548081c

Simplify the Sentence Transformers section intro

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README.md CHANGED
@@ -1019,7 +1019,7 @@ ColBERT(
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  ### Sentence Transformers
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- This model can be used with [Sentence Transformers](https://www.sbert.net/) as a multi-vector (ColBERT-style late interaction) retriever via the `MultiVectorEncoder`. `encode_query` and `encode_document` apply the `[Q] `/`[D] ` markers and the `search_query: `/`search_document: ` prompts for you, so the prompt alignment this card calls non-negotiable is handled from the saved config:
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  ```bash
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  pip install "sentence-transformers>=6.0.1"
 
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  ### Sentence Transformers
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+ This model can be used with [Sentence Transformers](https://www.sbert.net/) as a multi-vector (ColBERT-style late interaction) retriever via the `MultiVectorEncoder`:
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  ```bash
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  pip install "sentence-transformers>=6.0.1"