cross-encoder/ms-marco-electra-base

SyncDev model directory · Profile updated Oct 7, 2026

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Hugging Face repository for Text ranking.

Key specifications

Specification score
5.0

The specification score summarizes recorded features and limits. It is not a benchmark result.

Inputs and outputs

Recorded modality support shows what this model can accept and produce. An undocumented modality is shown as unknown rather than assumed to be unsupported.

Accepts

  • Text input

Produces

  • Score output

Capabilities

Streaming

What is cross-encoder/ms-marco-electra-base?

cross-encoder/ms-marco-electra-base: overview

cross-encoder/ms-marco-electra-base is a Hugging Face repository returned by the public Text ranking task feed. Its recorded download count is 15,393 and it has 7 likes when the repository snapshot was collected. Popularity is useful for discovery, but it is not a performance ranking or a guarantee of suitability.

Task fit

This record is categorized for Text ranking. A task category describes the intended machine-learning problem; it does not prove that every version, checkpoint, quantization, or deployment method produces the same quality. Teams should read the model card and test representative inputs before choosing it.

Source record

The public repository lists sentence-transformers as its library metadata. Its recorded tags include sentence-transformers, pytorch, onnx, safetensors, openvino, electra, text-classification, transformers. These source details are retained so readers can trace this directory entry back to the repository instead of relying on copied descriptions.

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Tasks and inputs

cross-encoder/ms-marco-electra-base is listed for Text ranking. It accepts text and produces score. Use the publisher’s input format and preprocessing for your chosen deployment.

Capacity and cost

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Choosing a deployment

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Frequently asked questions

cross-encoder/ms-marco-electra-base is a Hugging Face repository listed for the Text ranking task. Open the linked model card to verify the checkpoint, deployment requirements and current source details.

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