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elmorshedyahmed/
Ahmed

Name: Ahmed
Availability: InStock

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Hugging Face Endpoint Template: `mluke-store-judge`

This folder contains a custom Inference Endpoint handler for running studio-ousia/mluke-large as a lightweight term-typing judge for Rosetta experiments.

Why this exists:

the raw Hugging Face deployment for mLUKE exposes a fill-mask interface
for Rosetta we need a typed classification interface for preserve experiments
this wrapper converts candidate term + store context into scored label outputs

Files:

handler.py: custom endpoint handler implementing EndpointHandler
requirements.txt: endpoint dependencies

Expected request body

json

{
  "inputs": {
    "candidate": "Third Najm",
    "context": "Third Najm line: Syria-focused, spans hoodie/crewneck/tee/long-sleeve in black and white. Quoted poetic titles are used as named design concepts.",
    "labels": [
      "brand_name",
      "product_line",
      "named_work",
      "person_reference",
      "cultural_item",
      "nationality",
      "modifier"
    ]
  }
}

Expected response body

json

{
  "model_id": "studio-ousia/mluke-large",
  "candidate": "Third Najm",
  "top_label": "named_work",
  "results": [
    {
      "label": "named_work",
      "descriptor": "title",
      "raw_score": -2.13,
      "confidence": 0.44
    }
  ]
}

Deployment steps

Create a small Hugging Face repo under your account, for example:
- new-account/mluke-store-judge
Upload handler.py and requirements.txt from this folder to that repo.
Create an Inference Endpoint from that repo using the default container type with task Custom.
Set endpoint env var:
- MODEL_ID=studio-ousia/mluke-large
After deploy, save the endpoint URL locally as:
- HF_MLUKE_ENDPOINT_URL=https://...your-endpoint-url...

Notes

This is an experiment path only. It is not wired into the main Rosetta pipeline.
The handler uses masked-LM pseudo-log-likelihood over label descriptors to score label fit.
Default descriptor map:
- brand_name -> brand
- product_line -> collection
- named_work -> title
- person_reference -> person
- cultural_item -> garment
- nationality -> origin
- modifier -> descriptor
You can override that map by sending inputs.label_map in the request payload.

elmorshedyahmed/Ahmed

Hugging Face Endpoint Template: mluke-store-judge