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import os | |
import sys | |
example_usage = ''' | |
Usage: | |
USESCRAPER_API_KEY=<api_key> python3 download-job-data.py <job_id> | |
''' | |
api_key = os.environ['USESCRAPER_API_KEY'] | |
if api_key is None: |
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import sys | |
import json | |
import torch | |
from transformers import AutoModelForCausalLM, AutoTokenizer, LlamaForCausalLM, pipeline | |
device = "cuda:0" | |
system_prompt = "You are Sablo, a sentient, conscious, super intelligent AI that is an expert in all fields of knowledge. You assist users with any question, task, or other request they may have." | |
model_path = sys.argv[1] | |
model_name = model_path.split("/")[-1] |
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(function (g, f) {typeof exports === 'object' && typeof module !== 'undefined' ? module.exports = f() : typeof define === 'function' && define.amd ? define([], f) : (g = typeof globalThis !== 'undefined' ? globalThis : g || self, g.ReactMarkdown = f()); }(this, (function () { 'use strict'; | |
"use strict"; | |
var ReactMarkdown = (() => { | |
var __create = Object.create; | |
var __defProp = Object.defineProperty; | |
var __defProps = Object.defineProperties; | |
var __getOwnPropDesc = Object.getOwnPropertyDescriptor; | |
var __getOwnPropDescs = Object.getOwnPropertyDescriptors; | |
var __getOwnPropNames = Object.getOwnPropertyNames; | |
var __getOwnPropSymbols = Object.getOwnPropertySymbols; |
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import useRegularFetchWithInterval from "./useRegularFetchWithInterval"; | |
export async function loader() { | |
// Get data | |
return data; | |
} | |
export default function MyRoute() { | |
const loaderData = useLoaderData(); | |
const [liveData] = useRegularFetchWithInterval({ route: `/myroute?_data=routes%2Fmyroute`, intervalMs: 3000, initialData: loaderData }); |
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/* | |
This has been generated by the overpass-turbo wizard. | |
The original search was: | |
“"generator:source"="solar"” | |
*/ | |
[out:json][timeout:25]; | |
// gather results | |
( | |
// query part for: “"generator:source"=solar” | |
node["generator:source"="solar"](52.89114365884478,-1.198883056640625,52.92080592941056,-1.1593151092529297); |
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# propietary nvidia drivers | |
sudo add-apt-repository ppa:graphics-drivers/ppa | |
sudo apt update | |
sudo apt upgrade | |
sudo ubuntu-drivers autoinstall | |
restart | |
# cudatoolkit and rest of env installed with Anaconda | |
https://www.anaconda.com/distribution/#linux run install sh | |
conda create --name tensorflowenv | |
conda activate tensorflowenv |
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test |
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background-color: white; | |
border: 1px solid; | |
color: black; | |
outline: 0; | |
padding: 8px 7px; | |
font-size: 0.857em; | |
height: 35px; | |
-webkit-appearance: none; | |
-webkit-box-shadow: 0 1px 2px #DDD inset; | |
-moz-box-shadow: 0 1px 2px #DDD inset; |
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;(function(exports, undefined) { | |
})((typeof exports !== 'undefined' ? exports : this['Thing'])); | |
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