# Xpu Model Type Detect

> Detect whether a Hugging Face model is text generation, text encoder, seq2seq, masked LM, vision classification, vision-language (CLIP), audio encoder, audio seq2seq, multimodal VL, diffusion, time-series, or a reward model before loading it on Intel XPU. Pairs with torch-xpu-run and vllm-xpu-run so the agent picks the right AutoModel class and input kwargs and avoids wrong-input failures after a 20-second load.

## Facts
- Page: https://tashan.sh/capability/plugin-intel-gpu-ai-skills-xpu-model-type-detect
- tashan id: plugin:intel/gpu-ai-skills/xpu-model-type-detect
- Source: https://github.com/intel/gpu-ai-skills
- Type: plugin
- Category: ai
- tashan score: 45.0 / 100
- Adoption: 7.0
- Upkeep: 100.0
- Freshness: 99.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: Apache-2.0
- Official: no

## Install

```sh
/plugin marketplace add intel/gpu-ai-skills
/plugin install xpu-model-type-detect@intel-model-skillpack
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-09-13 by tashan (https://tashan.sh) from public evidence. Scorer s5.