Huggingface

This skill helps researchers publish, link, and manage papers on Hugging Face Hub with automated templates and arXiv integration.

This skill helps you build reusable Python scripts that chain Hugging Face API calls for data fetch, enrichment, and automation.

This skill helps manage Hugging Face model evaluation data by extracting, importing, and running custom evaluations across HF model cards.

This skill helps you create, configure, and query Hugging Face datasets with SQL, templates, and streamlined uploads.

This skill helps you manage Hugging Face Hub operations from the command line, including downloads, uploads, repos, cache, and cloud compute.

This skill trains or fine-tunes language models on Hugging Face Jobs using TRL, with SFT, DPO, GRPO, reward modeling and GGUF deployment.

This skill lets you run any workload on Hugging Face Jobs infrastructure, automating token management and results persistence.

This skill helps you track and visualize ML training metrics using Trackio, syncing to Hugging Face Spaces for real-time dashboards and automated outputs.