skills
Integrate the Hugging Face Skills plugin with Claude Code, OpenAI Codex, Gemini CLI, and Cursor. Discover and execute AI ML skills using manifest files for enhanced agent capabilities.
Handling Authentication for Pushing Models and Datasets to Hugging Face HubLearn to handle Hugging Face Hub authentication for pushing models and datasets. Securely log in using tokens and environment variables for seamless uploads.
Extracting Evaluation Tables from READMEs to YAML Format in Hugging Face SkillsConvert evaluation tables from Hugging Face model READMEs to YAML format. The hugging-face-evaluation skill uses token matching and auto detection for standardized model-index YAML.
Configuring PEP 723 Inline Dependencies in UV Scripts: The Complete GuideLearn to configure PEP 723 inline dependencies in UV scripts for automatic package installation. Master dependency management in your Python projects with this complete guide.
Checking for Existing PRs Before Creating New Evaluation PRs in Hugging Face SkillsAvoid duplicate work by checking for existing PRs before creating new evaluation PRs in Hugging Face Skills. Use the get_open_prs function to query the API.
Running Evaluation Jobs with inspect-ai on Hugging Face Using UV ScriptsEasily run inspect-ai evaluation jobs on Hugging Face. Our UV scripts support vLLM and Transformers backends, making evaluations simple and secure.
Using Unsloth for Faster Training with Reduced VRAM: A Complete GuideAccelerate your AI training with Unsloth. Cut VRAM usage by 60% and double speeds using optimized kernels and 4-bit quantization. Learn how in this complete guide.
Supported Template Formats for Dataset Creation in Hugging Face SkillsDiscover supported template formats for Hugging Face dataset creation. Learn about chat, classification, qa, completion, tabular, and custom formats for efficient dataset building.
Creating and Managing Hugging Face Hub Datasets with System PromptsEasily create and manage Hugging Face Hub datasets with system prompts. Configure and populate datasets directly in repository config files using JSON templates.
Estimating Cost and Runtime of Hugging Face Training Jobs Before SubmissionEstimate Hugging Face training job costs and runtime before submission. Learn how the estimate_cost.py script predicts expenses and duration using model size, hardware pricing, and empirical formulas.
Setting Appropriate Timeout Values for Hugging Face Training JobsLearn how to set effective timeout values for your Hugging Face training jobs. Extend your runtime by 30% to ensure checkpoint saving and prevent premature termination.
Common Failure Modes for Hugging Face Training Jobs: A Complete Troubleshooting GuideTroubleshoot common Hugging Face training job failures like OOM errors and dataset issues. Learn solutions for gradient checkpointing, streaming, and hub limits.
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