shubhamagarwal92

import torch
import logging
from pytorch_transformers import BertModel, BertTokenizer
from pytorch_transformers import *
from typing import List

CLS_TOKEN = "[CLS]"
SEP_TOKEN = "[SEP]"

logger = logging.getLogger(__name__)

sn3p

// Usage:
// <link rel="shortcut icon" href="favicon.png" data-count"5">

(() => {
  const faviconSize = 32;
  const favicon = document.querySelector('[data-count]')

  // No notifications
  if (!favicon || !favicon.dataset.count) {
    return;

ssskip

{
  "AF": "Afghanistan",
  "AX": "Aland Islands",
  "AL": "Albania",
  "DZ": "Algeria",
  "AS": "American Samoa",
  "AD": "Andorra",
  "AO": "Angola",
  "AI": "Anguilla",
  "AQ": "Antarctica",

rach

CREATE TEXT SEARCH CONFIGURATION fr ( COPY = french );
ALTER TEXT SEARCH CONFIGURATION fr ALTER MAPPING
FOR hword, hword_part, word WITH unaccent, french_stem;

CREATE TEXT SEARCH CONFIGURATION en ( COPY = english );
ALTER TEXT SEARCH CONFIGURATION en ALTER MAPPING
FOR hword, hword_part, word WITH unaccent, english_stem;

CREATE TEXT SEARCH CONFIGURATION de ( COPY = german );
ALTER TEXT SEARCH CONFIGURATION de ALTER MAPPING