huggingface-skills

What problem does it solve?

This Skill streamlines operations on the Hugging Face Hub, simplifying the management of models, datasets, and Spaces, as well as facilitating ML training and evaluation.

Core Features & Use Cases

• Model & Dataset Management: Upload, download, and create repositories for models and datasets.
• ML Training: Train models using TRL (SFT, DPO, GRPO).
• Model Evaluation: Run evaluations using the lighteval framework.
• Space Management: Create and manage Gradio or Streamlit Spaces.
• GGUF Conversion: Convert Hugging Face models to GGUF format for local inference.

Quick Start

Use the huggingface-skills to upload the local directory 'my-model-files' to a new model repository named 'my-username/my-new-model' on Hugging Face Hub.