maifeeulasad

import tensorflow as tf

model = tf.keras.models.load_model('name_gender.h5')
converter = tf.lite.TFLiteConverter.from_keras_model(model)
tflite_model = converter.convert()
open("converted_model.tflite", "wb").write(tflite_model)

maifeeulasad

//maybe the worst implementation
const delay = ms => new Promise(res => setTimeout(res, ms));
for(let i=0;i<100;i+=1){
    if(i%4===0){
        console.log("4");
    }
    if(i%7===0){
        console.log("7");
    }
    await delay(1000);

maifeeulasad

setInterval(function () {
    const data = []
    // all videos, we need to scroll to the bottom of the page to load all videos (manually)
    const videoLinks = document.querySelectorAll(
        'a#video-title.yt-simple-endpoint.style-scope.ytd-playlist-video-renderer'
    );

    videoLinks.forEach(videoLink => {
        const title = videoLink.getAttribute('title');
        // we can do it for facebook as well :wink:

maifeeulasad

from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline
from peft import PeftModel

base_model_id = "deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B"
peft_model_id = "maifeeulasad/askubuntu-model"

model = AutoModelForCausalLM.from_pretrained(base_model_id, device_map="auto", trust_remote_code=True)
model = PeftModel.from_pretrained(model, peft_model_id)
tokenizer = AutoTokenizer.from_pretrained(base_model_id)

maifeeulasad

(async () => {
  // Helper to wait a given number of milliseconds
  const wait = ms => new Promise(resolve => setTimeout(resolve, ms));

  // Find all target elements with the specific outer div class
  const elements = Array.from(document.querySelectorAll(
    '.html-div.xdj266r.xat24cr.xexx8yu.xyri2b.x18d9i69.x1c1uobl.x6s0dn4.x78zum5.xl56j7k.x14ayic.xwyz465.x1e0frkt'
  ));

  console.log(`Found ${elements.length} elements. Starting from the last.`);

maifeeulasad