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smart-rank-model

v1.0.1

Published

Convenient interface for utilizing various ranking models via API and locally.

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Links

Git

Maintainers

wfhbrianwfhbrian

Keywords

ranktransformerslocalmodelsAPI

Readme

@smart-rank-model

Convenient interface for utilizing various ranking models via API and locally.

Features

  • Supports multiple ranking models
  • Flexible adapter system for different model implementations
  • GPU acceleration support (when available)
  • Easy-to-use API for document ranking

Configuration

The SmartRankModel constructor accepts two parameters:

  1. env: The environment object containing adapter configurations
  2. opts: Model configuration options

Model Options

  • model_key: Identifier for the model in the models.json file
  • adapter: The adapter to use for this model
  • use_gpu: Boolean to enable/disable GPU acceleration (auto-detected if not specified)
  • gpu_batch_size: Batch size for GPU processing (default: 10)

Adapters

Adapters should be implemented and added to the env.opts.smart_rank_adapters object. Each adapter should implement the following methods:

  • constructor(model): Initialize the adapter
  • load(): Load the model
  • rank(query, documents): Rank the documents based on the query

License

MIT License. See LICENSE file for details.