cv_parser / cv APP /imports.py
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import numpy as np
import pandas as pd
import seaborn as sns
from typing import Optional, List, Tuple, Any
from collections import OrderedDict
import os, ast, re, string, torch, transformers, datasets, chardet, gdown
from sklearn.preprocessing import MultiLabelBinarizer, LabelEncoder
from torch.utils.data import Dataset, DataLoader
from sklearn.model_selection import train_test_split
from transformers import AutoTokenizer, AutoModel, AutoModelForSequenceClassification, Trainer, TrainingArguments, logging, RobertaForTokenClassification, RobertaConfig, AutoConfig
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
from torchcrf import CRF
from accelerate import Accelerator
import torch.nn as nn
import torch.nn.functional as F
import underthesea
from utils import *
from all_datasets import *
from model import *
from huggingface_hub import login
import PIL, fitz, pdf2image, re, unicodedata
from transformers import AutoProcessor, LayoutLMv3ForTokenClassification
from unidecode import unidecode
from pathlib import Path
from nltk import everygrams
from collections import Counter
from typing import List, Optional
from datetime import datetime
from dateutil import parser, relativedelta