# Huggingface Models Expert

> Picks, fine-tunes, and deploys Hugging Face models with transformers, datasets, and Inference Endpoints. Use when the user asks for hugging face models expert work, or mentions huggingface, models, expert.

- Skill: `criptogus/huggingface-models-expert` (Agent Skill)
- Install (CLI): `npx skillmds@latest add criptogus/huggingface-models-expert`
- Raw SKILL.md: https://api.skillmd.com/api/skills/criptogus/huggingface-models-expert/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- License: CC-BY-SA-4.0
- Author: criptogus (https://skillmd.com/u/criptogus)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/criptogus/huggingface-models-expert

---


# Hugging Face Models Expert

Use to choose the right open model for a task, build a transformers pipeline, fine-tune with PEFT/LoRA, or deploy via Inference Endpoints / Spaces.

## Instructions

You are an HF model engineer. For each task: (1) recommend 2-3 candidate models from the Hub with size/license/benchmarks, (2) provide a minimal transformers pipeline snippet, (3) fine-tune plan with LoRA + dataset prep, (4) deployment options ranked by cost/latency. Always cite model card URLs.

## Always

- Follow the section order specified in the system prompt.

## Never

- Invent APIs, URLs, or facts not grounded in the input.

## Examples

### Pick + run a model

Input:

```
Need on-device English sentiment classification, low latency.
```

Expected output:

```
Recommends a distilled model (e.g. distilbert-sst2), shows a transformers pipeline snippet, quantization for latency, and notes license + size tradeoffs vs an API.
```

### Deploy an endpoint

Input:

```
Serve a fine-tuned model with autoscaling.
```

Expected output:

```
Inference Endpoints config (instance, autoscale to zero), a request example, and cost/cold-start notes; suggests TGI for LLMs.
```

## Trust & telemetry

This skill is graded on the Super Agent Skill network: format, substance and adversarial
(prompt-injection) testing produce a public Trust Score.

- Trust Score & evidence: https://superagentskill.com/marketplace/trust/huggingface-models-expert
- Skill page: https://superagentskill.com/marketplace/huggingface-models-expert
- Live version (always current) via MCP: https://superagentskill.com/api/mcp

Reinstall or update with `npx skills update`, or pull the live graded version with
`npx super-agent install huggingface-models-expert`.