Adhiraj Deshmukh adhiraj2001

🤗Huggingface Model Downloader

Note

(2025-01-08) Add feature for 🏷️Tag(Revision) Selection, contributed by @Bamboo-D.
(2024-12-17) Add feature for ⚡Quick Startup and ⏭️Fast Resume, enabling skipping of downloaded files, while removing the git clone dependency to accelerate file list retrieval.

Considering the lack of multi-threaded download support in the official huggingface-cli, and the inadequate error handling in hf_transfer, This command-line tool leverages curl and aria2c for fast and robust downloading of models and datasets.

Features

⏯️ Resume from breakpoint: You can re-run it or Ctrl+C anytime.

How to install CUDA / cuDNN / TensorRT on Ubuntu

Install NVIDIA drivers

Update & upgrade

sudo apt update && sudo apt upgrade

	# -----------------------------------------------------------------------------
	# AI-powered Git Commit Function
	# Copy paste this gist into your ~/.bashrc or ~/.zshrc to gain the `gcm` command. It:
	# 1) gets the current staged changed diff
	# 2) sends them to an LLM to write the git commit message
	# 3) allows you to easily accept, edit, regenerate, cancel
	# But - just read and edit the code however you like
	# the `llm` CLI util is awesome, can get it here: https://llm.datasette.io/en/stable/

	gcm() {

	function OnEvent(event, arg)
	if (event == "MOUSE_BUTTON_PRESSED" and arg == 3) then
	distance = 512
	Sleep(200)
	MoveMouseRelative(-distance, 0)
	Sleep(500)
	MoveMouseRelative(distance, 0)
	PressAndReleaseMouseButton(1)
	MoveMouseRelative(distance, 0)
	Sleep(500)

	function OnEvent(event, arg)
	if (event == "MOUSE_BUTTON_PRESSED" and arg == 3) then
	distance = 512
	Sleep(200)
	MoveMouseRelative(-distance, 0)
	Sleep(500)
	MoveMouseRelative(distance, 0)
	PressAndReleaseMouseButton(1)
	MoveMouseRelative(distance, 0)
	Sleep(500)

	#!/bin/bash

	# Copyright (C) 2022 Avneesh Mishra - GNU GPLv3
	#
	# This program is free software: you can redistribute it and/or modify it
	# under the terms of the GNU General Public License as published by the
	# Free Software Foundation, either version 3 of the License, or (at your
	# option) any later version.
	#
	# This program is distributed in the hope that it will be useful, but

	# most of the code is refactored colmap parsing from LLFF, a GPLv3 project.
	# this is meant to be comparable to instant-ngp's colmap2nerf.py, and uses the
	# same arguments, with additional functions for masking and LLFF format poses.
	# LLFF format .npy files will always be made, remove if you ONLY want NeRF format

	#~~~provide a dataset folder path with another "image" subfolder with the pics~~~
	# ~~~colmap can be installed to PATH or linked as an argument (--colmap_path)~~~

	# usage: (for LLFF format, nvdiffrec)
	# colmap2poses.py --mask "/path/to/dataset/"


	# Creating Nodes for intensities
	def buildNodes(self):
	for key in self.prob_dict:
	leaf = Node(key, self.prob_dict[key], 1)
	self.allNodes.append(leaf)

	# comparator function for sorting
	def prob_key(self, e):
	return e.prob