published by huggingface

28 listings on this page, in order of arrival. Each one has its own page with README, repository facts and source links.

1. huggingface-skills ★ 11,032
   Build, train, evaluate, and use open source AI models, datasets, and spaces.
2. hf-cli ★ 11,032
   Hugging Face Hub CLI (`hf`) for downloading, uploading, and managing models, datasets, spaces, buckets, repos, papers, jobs, and more on the
3. hf-cloud-aws-context-discovery ★ 11,032
   Discover the user's local AWS context (active profile, region, account ID, caller identity) at the start of any AWS task. Use this skill bef
4. hf-cloud-python-env-setup ★ 11,032
   Set up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Pyt
5. hf-cloud-sagemaker-deployment-planner ★ 11,032
   Plan and coordinate the deployment of a model to Amazon SageMaker AI. Use this skill whenever the user wants to deploy, host, serve, or expo
6. hf-cloud-sagemaker-iam-preflight ★ 11,032
   Ensure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint,
7. hf-cloud-sagemaker-production-defaults ★ 11,032
   Create a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by defau
8. hf-cloud-serving-image-selection ★ 11,032
   Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a
9. hf-mem ★ 11,032
   Hugging Face CLI to estimate the required memory to load Safetensors or GGUF model weights for inference from the Hugging Face Hub
10. huggingface-best ★ 11,032
    Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model to use, or wants to compare
11. huggingface-community-evals ★ 11,032
    Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, an
12. huggingface-datasets ★ 11,032
    Use this skill for Hugging Face Dataset Viewer API workflows that fetch subset/split metadata, paginate rows, search text, apply filters, do
13. huggingface-gradio ★ 11,032
    Build Gradio web UIs and demos in Python. Use when creating or editing Gradio apps, components, event listeners, layouts, or chatbots.
14. huggingface-llm-trainer ★ 11,032
    Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructur
15. huggingface-local-models ★ 11,032
    Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running
16. huggingface-lora-space-builder ★ 11,032
    Build and publish a Gradio demo on Hugging Face Spaces for a user-provided LoRA. Use when someone asks to create, generate, ship, or publish
17. huggingface-paper-publisher ★ 11,032
    Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorshi
18. huggingface-papers ★ 11,032
    Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked models/dataset
19. huggingface-spaces ★ 11,032
    Build, deploy, and maintain applications on Hugging Face Spaces — Gradio / Docker / Static SDKs, ZeroGPU and dedicated hardware, model loadi
20. huggingface-tool-builder ★ 11,032
    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. This is es
21. huggingface-trackio ★ 11,032
    Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training
22. huggingface-vision-trainer ★ 11,032
    Trains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3,
23. huggingface-zerogpu ★ 11,032
    AI demos and GPU compute with Gradio Spaces and Hugging Face Spaces ZeroGPU. Use when writing or reviewing code that uses `@spaces.GPU`, con
24. train-sentence-transformers ★ 11,032
    Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, sim
25. transformers-js ★ 11,032
    Use Transformers.js to run state-of-the-art machine learning models directly in JavaScript/TypeScript. Supports NLP (text classification, tr
26. trl-training ★ 11,032
    Train and fine-tune transformer language models using TRL (Transformers Reinforcement Learning). Supports SFT, DPO, GRPO, KTO, RLOO and Rewa
27. huggingface-skills ★ 11,032
    Provides access to the Hugging Face Skills.
28. huggingface ★ 293
    Provides access to the Hugging Face Hub.