The `hf` CLI manages Hugging Face Hub repositories, models, datasets, and Spaces from the terminal.
Read-only API client for the Hugging Face Dataset Viewer.
Manages datasets on the Hugging Face Hub.
Adds and manages evaluation results in Hugging Face model cards using the model-index metadata format.
Runs Python workloads on Hugging Face managed infrastructure — CPUs, GPUs, or TPUs — without any local setup.
Trains and fine-tunes language models on Hugging Face's cloud GPU infrastructure using TRL.
Fetches and parses Hugging Face paper pages using arXiv IDs or HF paper URLs.
Builds reusable command-line scripts that interact with the Hugging Face API to fetch, filter, and process models, datasets, spaces, and papers.
Publishes and manages research papers on the Hugging Face Hub.
Trackio is an experiment tracking library for ML training.
Gradio is a Python library for building web-based UIs for machine learning models and data tools.
Transformers.
Trains and fine-tunes vision models on Hugging Face Jobs cloud GPUs, covering object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models including MobileNetV3, ResNet, ViT), and SAM/SAM2 segmentation.