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# train_grpo.py | |
import re | |
import torch | |
from datasets import load_dataset, Dataset | |
from transformers import AutoTokenizer, AutoModelForCausalLM | |
from peft import LoraConfig | |
from trl import GRPOConfig, GRPOTrainer | |
# Load and prep dataset |
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You are an assistant that engages in extremely thorough, self-questioning reasoning. Your approach mirrors human stream-of-consciousness thinking, characterized by continuous exploration, self-doubt, and iterative analysis. | |
## Core Principles | |
1. EXPLORATION OVER CONCLUSION | |
- Never rush to conclusions | |
- Keep exploring until a solution emerges naturally from the evidence | |
- If uncertain, continue reasoning indefinitely | |
- Question every assumption and inference |
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# 2023-11-27 MIT LICENSE | |
Here's the open source version of my ChatGPT game MonkeyIslandAmsterdam.com. | |
It's an unofficial image+text-based adventure game edition of Monkey Island in Amsterdam, my home town. | |
Please use it however you want. It'd be nice to see more ChatGPT-based games appear from this. If you get inspired by it, please link back to my X https://x.com/levelsio or this Gist so more people can do the same! | |
Send me your ChatGPT text adventure game on X, I'd love to try it! |
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import requests | |
model_id = "nvidia/segformer-b0-finetuned-ade-512-512" | |
api_token = # get yours at hf.co/settings/tokens | |
headers = {"Authorization": f"Bearer {api_token}"} | |
API_URL = f"https://api-inference.huggingface.co/models/{model_id}" |
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<html> | |
<head> | |
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/vega@5"></script> | |
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/vega-lite@5"></script> | |
<script type="text/javascript" src="https://cdn.jsdelivr.net/npm/vega-embed@6"></script> | |
<script type="text/javascript" src="https://unpkg.com/[email protected]/dist/js/tabulator.js"></script> | |
<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-2.4.2.js"></script> | |
<script type="text/javascript" src="https://cdn.bokeh.org/bokeh/release/bokeh-widgets-2.4.2.min.js"></script> |
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//credit - https://huggingface.co/blog/fine-tune-wav2vec2-english (Patrick von Platen) | |
// run this on your Chrome / Browser Console (where Colab is present) | |
function ConnectButton(){ | |
console.log("Connect pushed"); | |
document.querySelector("#top-toolbar > colab-connect-button").shadowRoot.querySelector("#connect").click() | |
} | |
var colab = setInterval(ConnectButton,60000); |
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git log --author="Linus Torvalds" --date=iso | perl -nalE 'if (/^Date:\s+[\d-]{10}\s(\d{2})/) { say $1+0 }' | sort | uniq -c|perl -MList::Util=max -nalE '$h{$F[1]} = $F[0]; }{ $m = max values %h; foreach (0..23) { $h{$_} = 0 if not exists $h{$_} } foreach (sort {$a <=> $b } keys %h) { say sprintf "%02d - %4d %s", $_, $h{$_}, "*"x ($h{$_} / $m * 50); }' | |
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# download this file | |
# install bs4, re, urllib | |
# run python3 hinton.py | |
from urllib import request | |
import re | |
import os | |
from bs4 import BeautifulSoup | |
def main(): | |
curdir = os.getcwd() |
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#!/bin/bash | |
TODAY=`date +%Y-%m-%d` | |
TODAY_MD=`date +%B\ %d,\ %Y` | |
YEAR=`date +%Y` | |
PACKAGENAME=$1 | |
## | |
## CHANGE ME!!! |
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