kishida

# based on StableLM chat
# https://huggingface.co/spaces/stabilityai/stablelm-tuned-alpha-chat
import gradio as gr
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline, StoppingCriteria, StoppingCriteriaList, TextIteratorStreamer
import time
import numpy as np
from torch.nn import functional as F
import os
from threading import Thread

kishida

# based on StableLM chat
# https://huggingface.co/spaces/stabilityai/stablelm-tuned-alpha-chat

import gradio as gr
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer, StoppingCriteria, StoppingCriteriaList
import ctranslate2

print(f"Starting to load the model to memory")

kishida

// 基本的なMammalクラス
public abstract class Mammal {
    private int height;
    private int weight;

    public Mammal(int height, int weight) {
        this.height = height;
        this.weight = weight;
    }

kishida

import javax.swing.*;
import java.awt.*;
import java.awt.event.ActionEvent;
import java.awt.event.ActionListener;
import javax.swing.table.DefaultTableModel;

public class SimpleForm {

    public static void main(String[] args) {
        JFrame frame = new JFrame("Sample Form");

kishida

package naoki;

import java.awt.BorderLayout;

import javax.swing.JButton;
import javax.swing.JFrame;
import javax.swing.JPanel;
import javax.swing.JTabbedPane;
import javax.swing.JTextArea;

kishida

from bs4 import BeautifulSoup
import csv

# Open and read the HTML file
with open("Style reference.html", 'r', encoding='utf-8') as file:
    content = file.read()

# Parse the HTML content using BeautifulSoup
soup = BeautifulSoup(content, 'html.parser')

kishida

kishida

import javax.swing.*;
import java.awt.*;
import java.awt.event.*;
import java.util.Calendar;

class ClockPanel extends JPanel {

    private final Timer timer;
    private final int DELAY = 1000; // 1秒ごとに更新

kishida

import torch
from transformers import LlamaTokenizer, AutoModelForVision2Seq, BlipImageProcessor
from PIL import Image
import requests

# need Set PROTOCOL_BUFFERS_PYTHON_IMPLEMENTATION=python

# load model
model_name = "stabilityai/japanese-instructblip-alpha"
model = AutoModelForVision2Seq.from_pretrained(model_name,load_in_8bit=True, trust_remote_code=True)

kishida

from transformers import AutoModelForCausalLM, AutoTokenizer
import torch

model_name = "stabilityai/stablecode-instruct-alpha-3b"

tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(
  model_name,
  trust_remote_code=True,
  #load_in_8bit=True,