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HF Hub

HF Hub

Darpan Aswal

|
119 installs
| (0) | Free
Browse, download and upload Hugging Face models & datasets from VS Code — works on SSH remote and HPC clusters
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
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HF Hub Desktop

A GUI for Hugging Face Hub — browse, download, and upload models and datasets without writing code.

Comes as two things:

  • Desktop app — Electron + React, runs on macOS / Linux / Windows
  • VS Code extension — works fully over SSH and on HPC clusters, no desktop required

Not affiliated with Hugging Face. Built on top of the official huggingface_hub Python library (Apache 2.0).


Features

Feature Desktop VS Code
Search models & datasets ✓ ✓
Download with save-location picker ✓ ✓
Upload folder/file with real-time progress ✓ ✓
Existing-repo picker for uploads ✓ ✓
Upload size limit warnings ✓ ✓
Transfer queue with cancel / remove ✓ ✓
Per-transfer log panel ✓ ✓
Cache manager (scan / delete) ✓ ✓
My Repos (models / datasets / spaces) ✓ —
Spaces browser ✓ —
Works over SSH / HPC cluster — ✓
One-click backend setup — ✓

Architecture

Both apps share the same Python backend:

┌─────────────────────────────┐
│  Desktop App (Electron)     │
│  OR  VS Code Extension      │
│           │                 │
│    HTTP + SSE (port 57891)  │
│           ▼                 │
│  FastAPI Backend (Python)   │
│  huggingface_hub calls      │
│  Transfer manager + SSE     │
└─────────────────────────────┘

If the desktop app is running, the VS Code extension connects to the same backend automatically.


Desktop App

Install

Download the latest binary for your platform from the Releases page.

On macOS you may need to right-click → Open the first time (Gatekeeper). On Linux: chmod +x HF-Hub-Desktop-*.AppImage && ./HF-Hub-Desktop-*.AppImage

Build from source

git clone https://github.com/darpanaswal/hf-hub-desktop
cd hf-hub-desktop
bash setup.sh          # installs all deps

# Development
cd hf-desktop && npm run dev

# Production build
cd hf-desktop && npm run build
# Output: hf-desktop/dist/

VS Code Extension

Install from Marketplace

Search "HF Hub" in the VS Code Extensions panel, or:

ext install DarpanAswal.hf-hub-vscode

Install from .vsix (e.g. on an SSH remote)

# Copy the .vsix to your server, then:
code --install-extension hf-hub-vscode-1.0.0.vsix

First-time setup (no desktop app)

  1. Open VS Code → press Ctrl+Shift+P → HF Hub: Setup Backend
    • The extension finds its bundled backend/ folder
    • Creates a Python venv and runs pip install -r requirements.txt
    • Starts the backend automatically on port 57891
  2. Run HF Hub: Set Access Token and paste your token from huggingface.co/settings/tokens

The status bar at the bottom right shows ⊙ HF Hub: running when the backend is up.

Usage

Download a model:

  • Click any model in the HF Hub → Models sidebar tree, or
  • Press Ctrl+Shift+P → HF Hub: Download Model → type to search → pick save location

Upload a folder:

  • Right-click any file or folder in the Explorer → HF Hub: Upload File/Folder to Hub
  • Or press Ctrl+Shift+P → HF Hub: Upload Folder to Hub

Monitor progress:

  • Open the Transfers tree in the HF Hub sidebar
  • Click any transfer to open a live log Output Channel showing speed, ETA, and file-by-file progress

Configuration

Setting Default Description
hfHub.token "" HF access token (or set HF_TOKEN env var)
hfHub.backendPort 57891 Port the backend listens on
hfHub.backendScript "" Path to main.py (auto-detected if empty)
hfHub.backendPythonPath "" Path to python executable (auto-detected)
hfHub.autoStartBackend true Start backend when extension activates
hfHub.cacheDir "" Custom HF cache directory

HPC / cluster setup

The extension works over VS Code Remote SSH with zero extra steps:

# 1. Install VS Code Remote SSH extension on your local machine
# 2. Connect to your cluster: Ctrl+Shift+P → Remote-SSH: Connect to Host
# 3. Install the .vsix on the remote:
code --install-extension hf-hub-vscode-1.0.0.vsix
# 4. Open VS Code on the remote, run HF Hub: Setup Backend
# 5. Done — models download directly to cluster storage

Backend API

The backend is a standalone FastAPI server. You can also use it directly:

cd hf-desktop/backend
source .venv/bin/activate
python3 main.py  # starts on http://127.0.0.1:57891
Method Endpoint Description
GET /health Health check
POST /auth/token Set HF token
GET /auth/status Auth status + username
GET /models/search?q=&task=&limit= Search models
GET /datasets/search?q=&limit= Search datasets
GET /spaces/search?q=&limit= Search spaces
GET /repos/list List your repos (flat, for upload picker)
GET /repos/ Full repo details (models + datasets + spaces)
POST /cache/start Start a snapshot_download
GET /cache/scan Scan local HF cache
DELETE /cache/repo/{type}/{id} Delete cached repo
POST /uploads/folder Upload a folder with live progress
POST /uploads/create-repo Create a new Hub repository
GET /transfers/ List all transfers
DELETE /transfers/{id} Cancel or remove a transfer
DELETE /transfers/history Clear finished transfers
GET /transfers/stream/events SSE — live transfer events

Requirements

Backend: Python 3.8+ with huggingface_hub, fastapi, uvicorn

Desktop app: Node.js 18+, the backend venv

VS Code extension: VS Code 1.85+, Python 3.8+ (on the machine where the backend runs)


License

MIT — see LICENSE

Built on huggingface_hub (Apache 2.0), FastAPI (MIT), Electron (MIT), React (MIT).

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