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