Daniel Voigt Godoy - Deep Learning with PyTorch Step-by-Step A Beginner’s Guide-leanpub

Additional Setup
This is a special chapter when it comes to its setup: We won’t be using only PyTorch
but rather a handful of other packages as well, including the de facto standard for
NLP tasks—HuggingFace.
Before proceeding, make sure you have all of them installed by running the
commands below:
!pip install gensim==3.8.3
!pip install allennlp==0.9.0
!pip install flair==0.8.0.post1 # uses PyTorch 1.7.1
!pip install torchvision==0.8.2
# HuggingFace
!pip install transformers==4.5.1
!pip install datasets==1.6.0
Some packages, like flair, may have strict dependencies and
eventually require the downgrading of some other packages in
your environment, even PyTorch itself.
The versions above were used to generate the outputs presented
in this chapter, but you can use newer versions if you want
(except for the allennlp package since this specific version is
required by flair for retrieving ELMo embeddings).
Imports
For the sake of organization, all libraries needed throughout the code used in any
given chapter are imported at its very beginning. For this chapter, we’ll need the
following imports:
import os
import json
import errno
import requests
import numpy as np
from copy import deepcopy
from operator import itemgetter
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