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import numpy as np |
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import pandas as pd |
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import seaborn as sns |
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from typing import Optional, List, Tuple, Any |
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from collections import OrderedDict |
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import os |
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import ast |
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import re |
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import string |
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from sklearn.preprocessing import MultiLabelBinarizer, LabelEncoder |
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import torch |
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from torch.utils.data import Dataset, DataLoader |
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from sklearn.model_selection import train_test_split |
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import datasets |
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import transformers |
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from transformers import AutoTokenizer, AutoModel, AutoModelForSequenceClassification, Trainer, TrainingArguments, logging, RobertaForTokenClassification, RobertaConfig, AutoConfig |
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from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence |
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from torchcrf import CRF |
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from accelerate import Accelerator |
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import torch.nn as nn |
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import torch.nn.functional as F |
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from vncorenlp import VnCoreNLP |
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from utils import * |
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from all_datasets import * |
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from model import * |
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