npm init -y
Create a folder called src and add an empty index.js file. The code that webpack compiles goes in here including any Javascript modules and the main Tailwind file.
// Zero-Clause BSD (more permissive than MIT, doesn't require copyright notice) | |
// | |
// Permission to use, copy, modify, and/or distribute this software for any purpose | |
// with or without fee is hereby granted. | |
// | |
// THE SOFTWARE IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES | |
// WITH REGARD TO THIS SOFTWARE INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY | |
// AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, | |
// INDIRECT, OR CONSEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS | |
// OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEGLIGENCE OR OTHER |
# Apache License 2.0 | |
# 使用法は gist のコメントを見てください | |
import argparse | |
from typing import List, Optional, Union, Iterator | |
from llama_cpp.llama_chat_format import _convert_completion_to_chat, register_chat_completion_handler | |
import llama_cpp.llama_types as llama_types | |
from llama_cpp.llama import LogitsProcessorList, LlamaGrammar | |
from llama_cpp import Llama, llama_chat_format | |
import gradio as gr |
scph5500.bin 26-Aug-2018 20:47 512.0K
scph5501.bin 26-Aug-2018 20:47 512.0K
scph5502.bin 26-Aug-2018 20:47 512.0K
<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
<title>Canvas Game</title> | |
<style> | |
canvas { | |
border: 1px solid black; | |
} |
<!DOCTYPE html> | |
<html lang="en"> | |
<head> | |
<meta charset="UTF-8"> | |
<meta name="viewport" content="width=device-width, initial-scale=1.0"> | |
<title>Canvas Game</title> | |
<style> | |
canvas { | |
border: 1px solid black; | |
} |
# install packages | |
# pip install faiss-cpu sentence-transformers | |
import numpy as np | |
import torch | |
import faiss | |
import time | |
from sentence_transformers import SentenceTransformer | |
# https://www.sbert.net/docs/pretrained_models.html#multi-qa-models |