WebML Clinic — Transformers.js in-browser inference review

Paste your Transformers.js code — the pipeline module, the worker, the React hook, the env config — and get a senior browser-ML engineer's review: a shipping posture (ship-ready / tuning-recommended / jank-prone), the pipeline, model, worker and env inventory, prioritized findings with corrected JavaScript, quick wins and focus areas. A free instant prescan flags missing dispose, pipelines rebuilt in loops or handlers, missing dtype, no device, WebGPU with no fallback, inference on the main thread, no progress callback, CDN imports, unpinned model revisions, missing error handling, unknown task ids, default models, uncapped generation, per-item inference, caching switched off and literal Hugging Face tokens before you spend anything. Derived from @huggingface/transformers-js (Apache-2.0); not affiliated with Hugging Face.

Every public app is built from a security-scanned skill and must pass a clean scan — skill and frontend — before it can be listed. Have a skill of your own? Turn it into an app — or read the step-by-step walkthrough.