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

import torch
import torch.optim as optim
import torch.nn as nn
import torch.nn.functional as F
from torch.utils.data import DataLoader, Dataset, random_split, \
TensorDataset
from data_generation.nlp import ALICE_URL, WIZARD_URL, download_text
from stepbystep.v4 import StepByStep
# These are the classes we built in Chapters 9 and 10
from seq2seq import *
import nltk
from nltk.tokenize import sent_tokenize
import gensim
from gensim import corpora, downloader
from gensim.parsing.preprocessing import *
from gensim.utils import simple_preprocess
from gensim.models import Word2Vec
from flair.data import Sentence
from flair.embeddings import ELMoEmbeddings, WordEmbeddings, \
TransformerWordEmbeddings, TransformerDocumentEmbeddings
from datasets import load_dataset, Split
from transformers import (
DataCollatorForLanguageModeling,
BertModel, BertTokenizer, BertForSequenceClassification,
DistilBertModel, DistilBertTokenizer,
DistilBertForSequenceClassification,
AutoModelForSequenceClassification,
AutoModel, AutoTokenizer, AutoModelForCausalLM,
Trainer, TrainingArguments, pipeline, TextClassificationPipeline
)
from transformers.pipelines import SUPPORTED_TASKS
882 | Chapter 11: Down the Yellow Brick Rabbit Hole