“Hugging Face”

Publish and manage research papers on Hugging Face Hub.

Design and run reproducible LLM fine-tuning with TRL, PEFT, Hugging Face Jobs, validated datasets, experiment tracking, and durable Hub outputs.

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help.

Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware.

Prepare and publish reproducible Hugging Face paper pages with linked code, models, datasets, demos, metadata, and validated claims.

Prepare, train, evaluate, and publish computer-vision and vision-language models with Hugging Face datasets, Transformers, PEFT, and Jobs.

Open Daniel Rosehill's Hugging Face profile pages — models, datasets, or spaces — in the browser.

Trending Hugging Face models, datasets, and spaces — filtered by license sanity, dedup vs same-week quantizations, with a "why notable" line per pick…

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

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

Rank this month's newly published Hugging Face text-generation, text-to-image, and text-to-audio models by likes and save a Traditional Chinese Top 5 survey…

Curated trending across GitHub repos and the Hugging Face Hub (models, datasets, spaces) - filtered, clustered, and labeled by momentum with a one-line…

Use Hugging Face Hub via MCP server tools.

Inspect and manage Hugging Face Hub models, datasets, Spaces, repositories, cache, authentication, and downloads with the current hf CLI.

Runs an end-to-end AMD Quark post-training quantization workflow for PyTorch / Hugging Face LLMs: inspect a Hub or local model, choose a quantization plan…

Hugging Face Transformers for loading Hub models, running pipeline inference, text generation, and Trainer fine-tuning on NLP, vision, audio, and multimodal…

Runs an end-to-end AMD Quark post-training quantization workflow for PyTorch / Hugging Face LLMs: inspect a Hub or local model, choose a quantization plan…

Build and validate local browser or Bun inference with Hugging Face Transformers.js, WebGPU or WASM backends, quantization, caching, and cleanup.

Use the `hf` CLI tool to interact with Hugging Face Hub — downloading models/datasets, uploading files, managing repos, running jobs, and managing…

Use when setting up Cosmos3 access through NPA, checking source or Hugging Face reachability, staging the public Cosmos3 framework and checkpoint cache, or…

Use when Cosmos3 setup, fetch, inference, CUDA, uv, Docker, Hugging Face, GitHub, NGC, or checkpoint staging fails in NPA or in an upstream Cosmos framework…

Prepare, verify, and resume operator-owned Hugging Face or NVIDIA NGC access for exact NPA dependencies, including human-bound upstream approvals, while…

Curate generated images into a clean training dataset, validate metadata, remove duplicates, and sync manifests/assets to Hugging Face.

Deploy, inspect, warm, cache, and troubleshoot the Modal + ComfyUI image backend and Hugging Face storage.