imshriya/mlforge-test-model

SyncDev model directory · Profile updated Oct 7, 2026

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Hugging Face repository for Tabular regression.

Key specifications

Specification score
10.0

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

  • Table input

Produces

  • Number output

Capabilities

Streaming

What is imshriya/mlforge-test-model?

imshriya/mlforge-test-model: overview

imshriya/mlforge-test-model is a Hugging Face repository returned by the public Tabular regression task feed. Its recorded download count is 12 and it has 0 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 Tabular regression. 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 sklearn as its library metadata. Its recorded tags include sklearn, joblib, tabular-regression, mlforge, region:us. These source details are retained so readers can trace this directory entry back to the repository instead of relying on copied descriptions.

Evaluate errors where they matter

Use a realistic time or group split and compare MAE or RMSE against a simple baseline. Inspect extreme values, missing fields and error patterns in the target business range.

Related models

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How to evaluate imshriya/mlforge-test-model

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Tasks and inputs

imshriya/mlforge-test-model is listed for Tabular regression. It accepts table and produces number. Use the publisher’s input format and preprocessing for your chosen deployment.

Capacity and cost

Measure a completed task using the prompts, documents and tools your application will use. Include reasoning and retries in the result.

Choosing a deployment

Use the model identifier and account requirements for the selected API route. Confirm its request limits and output format with one complete task before connecting a larger workflow.

Frequently asked questions

imshriya/mlforge-test-model is a Hugging Face repository listed for the Tabular regression task. Open the linked model card to verify the checkpoint, deployment requirements and current source details.

These records share a directory category. Check the source card, output type and deployment requirements before treating a model as a replacement.

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