Hello!
Heads up, this PR was AI-generated and human-reviewed. The `MultiVectorEncoder` class ships in the next Sentence Transformers release, planned for around the 18th, so for now the install below pulls from source. I would love to feature this model in that release's blog post and documentation, especially once it loads without the `revision` pin (that is, once this PR is merged).
Here's a summary of the changes as reported by my agent:
## Pull Request overview
* Integrate `vidore/colpali` with [Sentence Transformers](https://www.sbert.net/) as a multi-vector (ColBERT-style late interaction) retriever via `MultiVectorEncoder`.
## Details
This adds a Sentence Transformers loading path on top of the existing LoRA adapter, exposing the usual `model.encode_query(...)` / `model.encode_document(...)` / `model.similarity(...)` API with MaxSim scoring. The stock `Transformer` module loads the adapter directly onto the PaliGemma backbone through a small `key_mapping` that strips `colpa…
