Individual skill

tooluniverse-ml-inference-utility

Generic ML/NLP/vision inference against any HuggingFace-hosted model (serverless hf-inference provider) — text classification/sentiment, dense text embeddings for semantic similarity, masked-token prediction (including protein language models), summarization, zero-shot classification against caller-supplied labels, named entity recognition, extractive question answering, translation, image classification, and object detection. Use when someone asks to "classify this text with a HuggingFace model", "embed this text for similarity search", "run NER on this passage", "summarize this with model X", "zero-shot classify this against these labels", "predict the masked token", "classify/detect objects in this image", or names a specific HuggingFace model_id to run inference with. NOT a domain-analysis skill itself — this is a generic cross-domain utility other skills should reach for as a supporting step, the same way tooluniverse-clinical-terminology-lookup is a supporting lookup step rather than a research domain. NOT for training/fine-tuning models (inference only, against already-hosted models). Honest: as of this writing, HuggingFace's serverless inference API requires a valid HF_TOKEN for every one of these 10 tools, on every model tested — live-verified, not assumed from the "optional" wording in the tools' own descriptions. Also covers finding a model_id first via HuggingFace Hub search (HuggingFace_search_models/get_model/search_datasets — a separate, token-free catalog API) and running inference on Replicate-hosted models (Replicate_run_prediction/get_prediction) as an alternative platform when a model isn't served by HuggingFace's hf-inference provider.

skills/tooluniverse-ml-inference-utility/SKILL.md

Source commit 5598a9fc97e32964fe9b703818e7d0747142f179

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Network or broad shell

Last checked

Nov 5, 2026

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