abhishekmishragithub

# 1 - Create the voice clone here: https://app.smallest.ai/waves/voice-cloning or via api
# 2 - Copy the voice and use in the code

import os

from smallestai.waves import WavesClient

api_key: str = os.environ.get("SMALLEST_API_KEY", "")
client: WavesClient = WavesClient(api_key=api_key)  # TODO: add error handling

fszf

I see a few people sharing incorrect details in the comments so I figured I'd echo some details.

'hyprctl output create headless'

This creates a headless monitor. You can verify this with:

'hyprctl monitors'

Ayke

Prerequisites, i.e. the most important things

0. Time of writing: Jan 18, 2023, updated on Sep 22, 2024. The following assumes that you're trying to install CUDA on WSL2 Ubuntu.

1. Check support matrix first before you install any version of CUDA, because chances are the latest CUDA does not have cuDNN support yet, then you would have to re-install older version if you found out later.

   https://docs.nvidia.com/deeplearning/cudnn/support-matrix/index.html#cudnn-cuda-hardware-versions

   At the time of writing, the latest cuDNN version is 8.7 and it supports CUDA 11.8.

2. Windows 10 must be build 20145 or later, or you should be on Windows 11.

NickMcSweeney

Setup Postgresql

run postgresql with systemctl

Install postgres

latest

sudo pacman -S postgresql

specific version

find version & build from source

karpathy

"""
Minimal character-level Vanilla RNN model. Written by Andrej Karpathy (@karpathy)
BSD License
"""
import numpy as np

# data I/O
data = open('input.txt', 'r').read() # should be simple plain text file
chars = list(set(data))
data_size, vocab_size = len(data), len(chars)