sudo apt purge nvidia*
sudo apt remove nvidia-*
sudo rm /etc/apt/sources.list.d/cuda*
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import nltk | |
# interactive download | |
# nltk.download() | |
nltk.download('punkt') | |
extra_abbreviations = [ | |
"ps", | |
"inc", | |
"corp", |
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#!/bin/bash | |
## This gist contains step by step instructions to install cuda v10.0 and cudnn 7.5 in Ubuntu 18.04 | |
## Clean install | |
### If you have previous installation remove it first. | |
sudo apt-get purge nvidia* | |
sudo apt remove nvidia-* | |
sudo rm /etc/apt/sources.list.d/cuda* | |
sudo apt-get autoremove && sudo apt-get autoclean |
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# Enable Powerlevel10k instant prompt. Should stay close to the top of ~/.zshrc. | |
# Initialization code that may require console input (password prompts, [y/n] | |
# confirmations, etc.) must go above this block; everything else may go below. | |
if [[ -r "${XDG_CACHE_HOME:-$HOME/.cache}/p10k-instant-prompt-${(%):-%n}.zsh" ]]; then | |
source "${XDG_CACHE_HOME:-$HOME/.cache}/p10k-instant-prompt-${(%):-%n}.zsh" | |
fi | |
# If you come from bash you might have to change your $PATH. | |
# export PATH=$HOME/bin:/usr/local/bin:$PATH |
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# This is shorthened version of blog post | |
# http://ksopyla.com/2017/02/tensorflow-gpu-virtualenv-python3/ | |
# update packages | |
sudo apt-get update | |
sudo apt-get upgrade | |
#Add the ppa repo for NVIDIA graphics driver | |
sudo add-apt-repository ppa:graphics-drivers/ppa | |
sudo apt-get update |
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big_alphabet="AĄBCĆDEĘFGHIJKLŁMNŃOÓPRSŚTUWXYZŻŹ" | |
small_alphabet="aąbcćdeęfghijklłmnńoóprsśtuwxyzżź" | |
digits = "0123456789" | |
signs = "!@#$%^&*()-_+={}[]\"\\" |
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#%% | |
from flair.embeddings import BertEmbeddings | |
from flair.embeddings import WordEmbeddings | |
from flair.embeddings import FastTextEmbeddings | |
from flair.embeddings import ELMoEmbeddings | |
from flair.embeddings import BytePairEmbeddings | |
from flair.embeddings import FlairEmbeddings | |
from flair.embeddings import XLMEmbeddings | |
from flair.embeddings import RoBERTaEmbeddings |
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#%% | |
from collections import Counter, OrderedDict | |
from itertools import zip_longest , tee | |
## ngram iterators and tokenizers, working on list or generators | |
def ngram_tokenizer_iter(iterable, n, fillvalue=''): | |
"generuje pary znaków obok siebie, tokenizuje [abcd]->ab, cd dla tekstu przekazanego w formie generatora" | |
# grouper('ABCDEFG', 3, 'x') --> ABC DEF Gxx" |
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