Results for “hounsfield-units”

Generate images, videos, 3D assets, and audio via the Higgsfield AI CLI, including Marketing Studio ads and Virality Predictor analysis.

Train or fine-tune language and vision models using TRL or Unsloth on Hugging Face Jobs cloud infrastructure, with support for SFT, DPO, GRPO, and reward modeling, plus GGUF conversion for local deployment.

Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware, with backend selection between vLLM, Transformers, and accelerate.

Build, edit, and deploy full-stack websites or web apps using the Higgsfield CLI, with two distinct product types: standalone websites or Higgsfield-integrated apps.

Train a personalized identity model on a person's face for use in Higgsfield's image and video generation.

Hugging Face Hub CLI (hf) — search, download, and upload models and datasets, manage repos, query datasets with SQL, deploy inference endpoints, manage Spaces and buckets.

Burn HUD

Provides pre-built HubSpot workflow configurations for lead scoring, nurturing, MQL-to-SQL handoffs, partner lead tracking, and campaign tracking.

Hugging Face Hub CLI (hf) — search, download, and upload models and datasets, manage repos, query datasets with SQL, deploy inference endpoints, manage Spaces and buckets.

Operate Hugging Face Hub repositories, models, datasets, and Spaces via the hf CLI, including downloads, uploads, authentication, and compute jobs.

HuggingFace hf CLI: search/download/upload models, datasets.

Show or configure the OMX HUD (two-layer statusline)

Unity / UEFN / Fortnite person pack for Content Factory. Use when the user says person unity, @person-unity, Unity person, UEFN person, Fortnite map person, or HY-World person. Auto-loads unity-expert persona plus cf-hyworld-fortnite, image-generation, and storyboarding.

Generate brand-quality product images by selecting a photography mode and answering a short interview; the backend enhances the prompt and submits it to GPT Image 2.

Design domain-specific agent teams, define specialized agents, and generate the skills they use. Use when you need to decompose a complex project into coordinated multi-agent teams, choose the right architecture pattern (pipeline, fan-out/fan-in, expert pool, producer-reviewer, supervisor, hierarchical delegation), generate .claude/agents/ and .claude/skills/ files, or validate and iterate on generated harnesses. Triggers on: harness, build a harness, design agent team, agent team architecture, multi-agent skill generation, set up harness, harness engineering, domain agent team, harness for this project.

HuggingFace hf CLI: search/download/upload models, datasets.

Generate marketplace product image cards, including main images, secondary product shots, and A+ content modules, via the Higgsfield CLI.

当需要解构一个复杂系统（如品牌、产品、知识体系）以理解其组成部分及结构时

Show or configure the OMX HUD (two-layer statusline)

Trains and fine-tunes vision models for object detection, image classification, and segmentation using Hugging Face Transformers on cloud GPUs, with automatic dataset validation and Hub persistence.

Manage Hugging Face Hub resources: download/upload models, datasets, spaces; manage repos, buckets, collections, discussions, and cache; run SQL queries on datasets; authenticate and manage tokens.

Enforce quality, security, and accessibility standards for Salesforce Lightning Web Components, Aura components, and Visualforce pages.

Run the HyperFrames CLI to scaffold, author, lint, preview, render, and publish video compositions locally or on HeyGen Cloud, AWS Lambda, and Google Cloud Run.

Run inference on a HuggingFace model via the Inference API

Configure and use UnoCSS, an instant atomic CSS engine with presets, rules, shortcuts, and integrations for Vite and Nuxt.

Apply-now consolidation of a drifted design system into one token/component SSOT. Use after an approved plan-uiux-unification pass, or when "clean up the design system now", "migrate to one button", or "resolve token conflicts". Plan-only burndown → plan-uiux-unification.

Execute the full AgentHub competition lifecycle in a single command: initialize, capture baseline, spawn agents, evaluate results, and merge the winner.

Manage Hugging Face Hub resources via the `hf` CLI: download and upload models, datasets, and spaces; manage buckets, cache, collections, discussions, and inference endpoints; run SQL queries on datasets.

Configure and use UnoCSS, an instant atomic CSS engine that is a superset of Tailwind CSS, including rules, shortcuts, presets, and integrations.

Design and evolve engineering team structures for fast flow of change using the Team Topologies framework, including Conway's law, four team types, three interaction modes, and cognitive load management.

Provides F# testing patterns using xUnit, FsUnit, Unquote, FsCheck, and integration testing with Testcontainers and WebApplicationFactory, including test organization and anti-patterns.

Econometrics skill for panel data models. Activates when the user asks about: "panel data", "fixed effects", "random effects", "Hausman test", "within estimator", "between estimator", "two-way fixed effects", "clustered standard errors panel", "FE model", "RE model", "pooled OLS", "unobserved heterogeneity", "panel regression", "first difference estimator", "entity fixed effects", "time fixed effects", "面板数据", "固定效应", "随机效应", "豪斯曼检验", "双向固定效应", "面板回归", "个体效应", "时间效应", "一阶差分"

One-shot lifecycle command that chains init → baseline → spawn → eval → merge in a single invocation. Use when the user runs /hub:run or asks to execute a full AgentHub competition end-to-end.

UnoCSS instant atomic CSS engine, superset of Tailwind CSS. Use when configuring UnoCSS, writing utility rules, shortcuts, or working with presets like Wind, Icons, Attributify.

Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.