https://www.dataquest.io/blog/jupyter-notebook-tips-tricks-shortcuts/
https://ndres.me/post/best-jupyter-notebook-extensions/
https://towardsdatascience.com/machine-learning-from-scratch-part-1-76603dececa6
| # train_grpo.py | |
| import re | |
| import torch | |
| from datasets import load_dataset, Dataset | |
| from transformers import AutoTokenizer, AutoModelForCausalLM | |
| from peft import LoraConfig | |
| from trl import GRPOConfig, GRPOTrainer | |
| # Load and prep dataset |
| import json | |
| import urllib.request | |
| import datetime | |
| import time | |
| import pandas as pd | |
| comienzo = time.time() | |
| def hacer_request(tid): | |
| url = "https://localbitcoins.com/bitcoincharts/VEF/trades.json?since=" |