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HF Hub

HF Hub

Darpan Aswal

| (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

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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