ArthurZucker

from datasets import load_dataset
from trl import SFTTrainer
from peft import LoraConfig
from transformers import AutoTokenizer, AutoModelForCausalLM, TrainingArguments
tokenizer = AutoTokenizer.from_pretrained("state-spaces/mamba-130m-hf")
model = AutoModelForCausalLM.from_pretrained("state-spaces/mamba-130m-hf")
dataset = load_dataset("Abirate/english_quotes", split="train")
training_args = TrainingArguments(
    output_dir="./results",
    num_train_epochs=3,

selimslab

import sys
from subprocess import call
import json
import os
import requests


def download_gists(gists: list):
    for gist in gists:
        call(["git", "clone", gist["git_pull_url"]])

lebedov

#!/usr/bin/env python

"""
How to use multiple queues for passing data to/from a multiprocessing pool.
"""

from multiprocessing import Pool, Queue
import shortuuid

def f(q_in, q_out):

shhong

#!/usr/bin/env python

"""
nsb_entropy.py

June, 2011 written by Sungho Hong, Computational Neuroscience Unit, Okinawa Institute of
Science and Technology
May, 2019 updated to Python 3 by Charlie Strauss, Los Alamos National Lab

This script is a python version of Mathematica functions by Christian Mendl