Hugging Face

Track and visualize ML training experiments with Trackio — log metrics via Python API, fire training alerts, and retrieve logged metrics with real-time dashboards.

Build reusable CLI scripts for Hugging Face API operations — chaining API calls and automating repeated tasks.

Publish and manage research papers on Hugging Face Hub — create paper pages, link to models/datasets, claim authorship.

Train or fine-tune language models using TRL on Hugging Face Jobs — SFT, DPO, GRPO, reward modeling, GGUF conversion, and Trackio monitoring.

Run workloads on Hugging Face Jobs infrastructure — UV scripts, Docker-based jobs, hardware selection, cost estimation, and secrets management.

Add and manage evaluation results in Hugging Face model cards — extract eval tables, import scores, and run custom evaluations.

Create and manage datasets on Hugging Face Hub — initialize repos, define configs, stream row updates, and SQL-based querying.

Execute Hugging Face Hub operations — download models/datasets/spaces, upload files, create repos, manage local cache, and run compute jobs.

Build Gradio web UIs and demos in Python — create apps, components, event listeners, layouts, and chatbots.