| /* | |
| Copy this into the console of any web page that is interactive and doesn't | |
| do hard reloads. You will hear your DOM changes as different pitches of | |
| audio. | |
| I have found this interesting for debugging, but also fun to hear web pages | |
| render like UIs do in movies. | |
| */ | |
| const audioCtx = new (window.AudioContext || window.webkitAudioContext)() |
| [ | |
| { | |
| "id": "1", | |
| "title": "Big Buck Bunny", | |
| "thumbnailUrl": "https://upload.wikimedia.org/wikipedia/commons/thumb/a/a7/Big_Buck_Bunny_thumbnail_vlc.png/1200px-Big_Buck_Bunny_thumbnail_vlc.png", | |
| "duration": "8:18", | |
| "uploadTime": "May 9, 2011", | |
| "views": "24,969,123", | |
| "author": "Vlc Media Player", | |
| "videoUrl": "http://commondatastorage.googleapis.com/gtv-videos-bucket/sample/BigBuckBunny.mp4", |
This is an up-to-date guide on running Chromium in Vercel serverless functions in 2022. What you will read below is the result of two days of research, debugging, 100+ failed deployments, and a little bit of stress.
Use chrome-aws-lambda that comes with Chromium pre-configured to run in serverless, and puppeteer-core due to the smaller size of Chromium distributive.
| // 3D Dom viewer, copy-paste this into your console to visualise the DOM as a stack of solid blocks. | |
| // You can also minify and save it as a bookmarklet (https://www.freecodecamp.org/news/what-are-bookmarklets/) | |
| (() => { | |
| const SHOW_SIDES = false; // color sides of DOM nodes? | |
| const COLOR_SURFACE = true; // color tops of DOM nodes? | |
| const COLOR_RANDOM = false; // randomise color? | |
| const COLOR_HUE = 190; // hue in HSL (https://hslpicker.com) | |
| const MAX_ROTATION = 180; // set to 360 to rotate all the way round | |
| const THICKNESS = 20; // thickness of layers | |
| const DISTANCE = 10000; // ¯\\_(ツ)_/¯ |
| package main | |
| import ( | |
| "context" | |
| "errors" | |
| "fmt" | |
| "io" | |
| "log" | |
| "os" | |
| "runtime" |
| # train_grpo.py | |
| # | |
| # See https://github.com/willccbb/verifiers for ongoing developments | |
| # | |
| import re | |
| import torch | |
| from datasets import load_dataset, Dataset | |
| from transformers import AutoTokenizer, AutoModelForCausalLM | |
| from peft import LoraConfig | |
| from trl import GRPOConfig, GRPOTrainer |
