DarshanDeshpande

## ppo_modeling.py
import argparse
import os
import torch
import numpy as np

from transformers import AutoTokenizer, AutoModelForSequenceClassification
from peft import LoraConfig
from trl import (
    PPOTrainer,
    PPOConfig,

## reward_modeling.py
import torch
from datasets import load_dataset
from tqdm import tqdm
from transformers import AutoModelForSequenceClassification, AutoTokenizer, BitsAndBytesConfig
from trl import RewardConfig, RewardTrainer
from peft import LoraConfig, get_peft_model
import wandb
import os
import argparse

## quantileregression.ipynb

      
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                DarshanDeshpande
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              August 21, 2021 04:52
            
              
                quantileregression
              
          
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## scratchpad.ipynb

      
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                DarshanDeshpande
                / scratchpad.ipynb
            
            
              Created
              August 5, 2021 14:46
            
              
                scratchpad
              
          
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## youtube-subtitle-extraction.py
import pytube
from bs4 import BeautifulSoup
import sqlite3
import html
import re
import os
from tqdm.notebook import tqdm
import requests

conn = sqlite3.connect('Database.db')
	import argparse
	import os
	import torch
	import numpy as np

	from transformers import AutoTokenizer, AutoModelForSequenceClassification
	from peft import LoraConfig
	from trl import (
	PPOTrainer,
	PPOConfig,
	import torch
	from datasets import load_dataset
	from tqdm import tqdm
	from transformers import AutoModelForSequenceClassification, AutoTokenizer, BitsAndBytesConfig
	from trl import RewardConfig, RewardTrainer
	from peft import LoraConfig, get_peft_model
	import wandb
	import os
	import argparse
	import pytube
	from bs4 import BeautifulSoup
	import sqlite3
	import html
	import re
	import os
	from tqdm.notebook import tqdm
	import requests

	conn = sqlite3.connect('Database.db')