Python · Model hubs and datasets

Runs lm-evaluation-harness to benchmark language models on academic suites such as MMLU, GSM8K and HumanEval, compare models and track training checkpoints.

Orchestra-Research/AI-Research-SKILLs

Complete agent-ready workflow for Qwen-family MTP or nextn GGUF conversion and release.

R6410418/Jackrong-llm-finetuning-guide

Shows how to load, train and use fast Hugging Face tokenizers, with BPE, WordPiece and Unigram models, padding, truncation and alignment tracking.

Orchestra-Research/AI-Research-SKILLs

Indexes research papers on the Hugging Face Hub from arXiv, links them to models and datasets, claims authorship and generates markdown research articles from templates.

huggingface/skills

Trains and fine-tunes object detection, image classification and SAM or SAM2 segmentation models on Hugging Face Jobs cloud GPUs and saves the results to the Hub.

huggingface/skills

Generate a game-ready 3D asset by running the local AI pipeline sequentially: Fooocus (SDXL text-to-image) - Hunyuan3D-2 (image-to-textured-GLB) - optional Blender FBX convert + Unreal import.

LaurentiuGabriel/unreal-game-assets-creation-skill

Prepare a macOS or Ubuntu machine for edge-e3 development, diagnose missing Verilator/LLVM/Python dependencies, initialize the public repository, and answer or act on the example prompts in the root…

exeex/edge-cores

Prepare, publish, refresh, or validate the TraceLab public dataset on Hugging Face under UW-SyFI/TraceLab.

uw-syfi/TraceLab

Builds reusable command line scripts that fetch, enrich or process data from the Hugging Face API, aimed at chained, repeated or automated tasks.

huggingface/skills

Covers the rules for writing Gradio Spaces on ZeroGPU hardware: the @spaces.GPU decorator, duration and quota tuning, process isolation and CUDA build limits.

huggingface/skills

Best practices for multi-step Python tasks including data analysis, HuggingFace datasets, token counting, and any task requiring state across multiple python() calls.

A-EVO-Lab/a-evolve

Register, list, get, and manage LLM models in OCI AI Quick Actions (AQUA) using the ADS SDK.

oracle/accelerated-data-science

Loads pre-trained Hugging Face Transformers models for text, vision and audio tasks, runs inference with pipelines and fine-tunes on custom datasets.

davila7/claude-code-templates

Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community…

huggingface/skills

Track and visualize ML training experiments with Trackio. An agent skill from sickn33/agentic-awesome-skills.

sickn33/agentic-awesome-skills

Python backend for Databricks Apps — FastAPI (default), Flask, Dash, Streamlit, Gradio, Reflex.

databricks/databricks-agent-skills

Run Hugging Face models in JavaScript or TypeScript with Transformers.js, WebGPU, or WASM across browser, Node.js, Bun, and Deno.

waybarrios/opencode-power-pack

Interactive Gradio UI to paint a region and remove solid key-color background (white / green / magenta) only inside that selection.

godot-fun/gai

A skill your agent uses when users need to search for datasets, download data files, or explore data repositories.

LeoYeAI/openclaw-master-skills

This skill should be used when users want to run any workload on Hugging Face Jobs infrastructure.

agent-skills-hub/agent-skills-hub

A skill your agent uses when running GPU compute on RunPod and deciding between Pods (hourly, always-on) and Serverless (per-second, autoscaling) for training, fine-tuning or inference — serverless…

ericrisco/rsc-harness