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Model hubs and datasets
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 97 | Train or fine-tune vision models on Hugging Face Jobs for detection, classification, and SAM or SAM2 segmentation. | henryalouf/ | 157 | — | ~7.4k | Automated safety check: Pass | MIT | 4 mo ago |
| 98 | Load OpenMed clinical/biomedical NER models from the Hugging Face Hub or a local path and reuse them efficiently across calls. | maziyarpanahi/ | 5.5k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 99 | A skill your agent uses when benchmarking Skippy exact-prefix cache across model families, comparing Skippy against llama-server, producing README benchmark tables, updating… | Mesh-LLM/ | 3.5k | — | ~764 | Automated safety check: Pass | Apache-2.0 | today |
| 100 | Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. | sickn33/ | 47k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 101 | Curated upstream guidance for Huggingface Community Evals; use when the workflow matches the user goal. | sickn33/ | 47k | 1 repo | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 102 | Create and manage datasets on Hugging Face Hub. An agent skill from sickn33/agentic-awesome-skills. | sickn33/ | 47k | 2 repos | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 103 | Build, deploy, debug, or maintain a Hugging Face Space using Gradio, Docker, or Static SDKs. | waybarrios/ | 534 | — | ~4.2k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 104 | Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. | sickn33/ | 47k | 1 repo | ~1.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 105 | A skill your agent uses when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. | sickn33/ | 47k | 1 repo | ~1.7k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 106 | 抓取并分析"数据库、AI、GitHub、AI论文"相关的近1周内最新内容,分类汇总,输出图文并茂(含内置 Mermaid 图)的 Markdown 周报到当前项目的 markdown/ 目录。 | digoal/ | 8.6k | — | ~2.4k | Automated safety check: Pass | GPL-2.0 | 2 days ago |
| 107 | Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping and intermediate processing where helpful. | sickn33/ | 47k | 2 repos | ~1.5k | Automated safety check: Pass | MIT | 2 days ago |
| 108 | 108.Onboard Marin Verify or complete a new internal Marin developer's local setup and access to GitHub, GCP, Iris, Weights & Biases, Hugging Face, and optional CoreWeave storage. | marin-community/ | 3.9k | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 109 | 109.Transformers JS Run Hugging Face models in JavaScript or TypeScript with Transformers.js, WebGPU, or WASM across browser, Node.js, Bun, and Deno. | waybarrios/ | 534 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 110 | Train object detection, image classification, and SAM or SAM2 segmentation models locally or on Hugging Face Jobs, with dataset validation and results saved to the Hub. | sickn33/ | 47k | 1 repo | ~1.1k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 111 | Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loading, debugging, buckets, inference providers, community… | sickn33/ | 47k | 1 repo | ~3.9k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 112 | AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. | sickn33/ | 47k | 1 repo | ~4.6k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 113 | 113.Add Dataset Register a named Hugging Face dataset for Marin by inspecting its schema and adding the appropriate experiments/datasets module. | marin-community/ | 3.9k | — | ~458 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 114 | Add and manage evaluation results in Hugging Face model cards. | sickn33/ | 47k | 2 repos | ~418 | Automated safety check: Pass | MIT | 2 days ago |
| 115 | Continue KERMT pretraining on a custom SMILES corpus with a groverbase, cmim, or hybrid checkpoint. | NVIDIA/ | 3.6k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 116 | Extract per-molecule embeddings from any encoder-bearing KERMT checkpoint. | NVIDIA/ | 3.6k | 1 repo | ~1.9k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 117 | Finetune a pretrained KERMT encoder on a labeled CSV. An agent skill from NVIDIA/skills. | NVIDIA/ | 3.6k | 1 repo | ~4.1k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 118 | Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/datasets/spaces, Github repo and project page. | sickn33/ | 47k | 1 repo | ~2.5k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 119 | Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. | sickn33/ | 47k | 1 repo | ~8.3k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 120 | 120.Model Card A skill your agent uses when a trained medical-imaging model needs its documentation. | Aperivue/ | 333 | — | ~1.5k | Automated safety check: Pass | MIT | 5 days ago |
| 121 | 121.Upload Hf Model Upload or publish model weights to the Hugging Face Hub. An agent skill from marin-community/marin. | marin-community/ | 3.9k | — | ~264 | Automated safety check: Pass | Apache-2.0 | yesterday |
| 122 | 122.Huggingface Best Find and compare recommended Hugging Face models for a task using benchmarks, model size, and device constraints. | waybarrios/ | 534 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | 5 days ago |
| 123 | Generate research questions from existing materials — codebooks, survey questionnaires, datasets, or published papers/abstracts. | joshzyj/ | 168 | — | ~4.2k | Automated safety check: Pass | Unknown | 22 days ago |
| 124 | 124.Transformers JS Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. | sickn33/ | 47k | 1 repo | ~444 | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 125 | 125.Academic Aio A skill your agent uses when a medical AI paper should be found and cited by AI search engines and RAG tools. | Aperivue/ | 333 | — | ~4.8k | Automated safety check: Pass | MIT | 5 days ago |
| 126 | Run workloads on Hugging Face Jobs with managed CPUs, GPUs, TPUs, secrets, and Hub persistence. | aiskillstore/ | 433 | 3 repos | ~7.9k | Automated safety check: Pass | No licence | yesterday |
| 127 | Generate images via Stable Diffusion (HuggingFace Diffusers, local/API) | taracodlabs/ | 852 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 | 27 days ago |
| 128 | Download and convert AI models using the Model Download microservice. | open-edge-platform/ | 171 | — | ~3.8k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 129 | Convert existing Hugging Face Transformers Trainer or TRL SFTTrainer training code into an NVFLARE federated job using flare.patch(trainer), local validation, and job export; use when the user names… | NVIDIA/ | 3.6k | — | ~3.5k | Automated safety check: Pass | Apache-2.0 | yesterday |
| 130 | Fine-tune any HuggingFace CV / VLM / LLM model on local NVIDIA GPUs inside an NGC PyTorch container when no dedicated TAO model skill matches. | NVIDIA/ | 3.6k | — | ~4.9k | Automated safety check: Notes | Apache-2.0 | yesterday |
| 131 | Detect and defend against indirect prompt injection hidden in web pages, documents, and images consumed by an agent, via content extraction (HTML/PDF/OCR), normalization, and scanning with LLM… | mukul975/ | 34k | — | ~2.8k | Automated safety check: Warn | Apache-2.0 | 1 mo ago |
| 132 | Runs NVIDIA garak probe suites (jailbreak, prompt injection, data leakage, toxicity, and more) against an LLM endpoint - Hugging Face models, OpenAI-compatible APIs, or Bedrock - then interprets the… | mukul975/ | 34k | — | ~2.9k | Automated safety check: Warn | Apache-2.0 | 1 mo ago |
| 133 | Self-healing China mirror source resolver. An agent skill from LeoYeAI/openclaw-master-skills. | LeoYeAI/ | 2.2k | — | ~4.6k | Automated safety check: Notes | MIT | 2 mo ago |
| 134 | 134.Models Add any Hugging Face image or video model, checkpoint or LoRA to Guaardvark from a URL, list what is installed, and download registry models on request. | guaardvark/ | 257 | — | ~782 | Automated safety check: Pass | MIT | yesterday |
| 135 | Interactive Gradio UI to paint a region and remove solid key-color background (white / green / magenta) only inside that selection. | godot-fun/ | 183 | — | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 136 | 136.Engine Mlx Lm Serve an MLX or Hugging Face safetensors model already on this Mac with mlx-lm's server and join it to the person's fleet. | autonomous-ai/ | 1.2k | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 137 | 137.Engine Sglang Serve a Hugging Face model with SGLang on a Linux machine with an NVIDIA or AMD GPU, configured from the model's SGLang cookbook page — or, when it has none, from the model's own files — and join it… | autonomous-ai/ | 1.2k | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 138 | 138.Engine Vllm Serve a Hugging Face model with vLLM on a Linux machine with an NVIDIA or AMD GPU, configured from the model's official vLLM recipe — or, when it has none, from the model's own files — and join it… | autonomous-ai/ | 1.2k | — | ~1.9k | Automated safety check: Pass | MIT | yesterday |
| 139 | Hugging Face Dataset Viewer | sickn33/ | 47k | 1 repo | ~1.3k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 140 | 140.Publish Model 学習済み Lightning checkpoint (.ckpt) を ONNX export → sanity check → RTF benchmark → HuggingFace upload まで連鎖実行する read-mostly skill。 | ayutaz/ | 234 | — | ~1.1k | Automated safety check: Pass | MIT | yesterday |
| 141 | 141.GitHub Trending Curated trending across GitHub repos and the Hugging Face Hub (models, datasets, spaces) - filtered, clustered, and labeled by momentum with a one-line why-notable per pick. | aeonfun/ | 770 | — | ~5.3k | Automated safety check: Pass | MIT | yesterday |
| 142 | Prepare export and downstream evaluation handoff for a planned or completed Quark PTQ run. | amd/ | 182 | — | ~1.5k | Automated safety check: Pass | MIT | 13 days ago |
| 143 | Validate workspace shape, model paths, output directories, and repo structure before downstream Quark skills proceed. | amd/ | 182 | — | ~1.3k | Automated safety check: Pass | MIT | 13 days ago |
| 144 | 144.Hugging Face CLI Execute Hugging Face Hub operations using the hf CLI. An agent skill from agent-skills-hub/agent-skills-hub. | agent-skills-hub/ | 112 | 1 repo | ~2k | Automated safety check: Pass | MIT | 9 days ago |