Tasked with implementing 2 text-centric models(LSTM and BERT) for the classic movie-genre classification
import torch
from torch import nn
from torch.utils.data import Dataset, DataLoader
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import MultiLabelBinarizer
from transformers import BertTokenizer, BertForSequenceClassification
from sklearn.metrics import accuracy_score, f1_score
import pandas as pd
import numpy as np
from tqdm import tqdm