sickn33/agentic-awesome-skillsskills/hugging-face-jobs/SKILL.md
Run workloads on Hugging Face Jobs with managed CPUs, GPUs, TPUs, secrets, and Hub persistence. (SKILL.md metadata excerpt)
Compare the method, check the prerequisites, then go to the exact source.
sickn33/agentic-awesome-skillsskills/hugging-face-jobs/SKILL.md
Run workloads on Hugging Face Jobs with managed CPUs, GPUs, TPUs, secrets, and Hub persistence. (SKILL.md metadata excerpt)
sickn33/agentic-awesome-skillsskills/hugging-face-model-trainer/SKILL.md
Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, (SKILL.md metadata excerpt)
sickn33/agentic-awesome-skillsskills/hugging-face-paper-publisher/SKILL.md
Publish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional (SKILL.md metadata excerpt)
sickn33/agentic-awesome-skillsskills/hugging-face-papers/SKILL.md
Look up and read Hugging Face paper pages in markdown, and use the papers API for structured metadata such as authors, linked (SKILL.md metadata excerpt)
sickn33/agentic-awesome-skillsskills/hugging-face-tool-builder/SKILL.md
Your purpose is now is to create reusable command line scripts and utilities for using the Hugging Face API, allowing chaining, piping (SKILL.md metadata excerpt)
sickn33/agentic-awesome-skillsskills/hugging-face-trackio/SKILL.md
Track and visualize ML training experiments with Trackio. Use when logging metrics during training (Python API), firing alerts for training diagnostics, or (SKILL.md metadata excerpt)
sickn33/agentic-awesome-skillsskills/hugging-face-vision-trainer/SKILL.md
Train object detection, image classification, and SAM or SAM2 segmentation models locally or on Hugging Face Jobs, with dataset validation and results (SKILL.md metadata excerpt)
sickn33/agentic-awesome-skillsskills/huggingface-best/SKILL.md
Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model (SKILL.md metadata excerpt)
huggingface/skillsskills/huggingface-best/SKILL.md
Use when the user asks about finding the best, top, or recommended model for a task, wants to know what AI model (SKILL.md metadata excerpt)
huggingface/skillsskills/huggingface-community-evals/SKILL.md
Run evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and (SKILL.md metadata excerpt)
huggingface/skillsskills/huggingface-llm-trainer/SKILL.md
Train or fine-tune language and vision models using TRL (Transformer Reinforcement Learning) or Unsloth with Hugging Face Jobs infrastructure. Covers SFT, DPO, (SKILL.md metadata excerpt)
sickn33/agentic-awesome-skillsskills/huggingface-local-models/SKILL.md
Use to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant (SKILL.md metadata excerpt)
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