Peter pszemraj

Write the Paper First

URL Source: http://www.cs.jhu.edu/~jason/advice/write-the-paper-first.html

M- Write the Paper First - by Jason Eisner (2010)

Write the Paper First - by Jason Eisner (2010)
Writing is the best use of limited time

copy to clipboard from wsl

An adapted fn of what I use on ubuntu but leverages WSL exposing clip.exe to get stuff on your clipboard

# Copy file contents or stdin to clipboard
# Usage: cz [file]
#   cz file.txt  - copy file to clipboard
#   cmd | cz     - copy stdin to clipboard
# Fails on: binary files, files &gt;10MB, non-existent files

	"""
	example script for inference with LFM2-VL-3B model

	https://hf.co/LiquidAI/LFM2-VL-3B
	"""

	from transformers import AutoModelForImageTextToText, AutoProcessor
	from transformers.image_utils import load_image

	# Load model and processor

	import argparse
	import webbrowser
	from pathlib import Path
	from typing import Any, Callable, Optional, Union

	from tokenizers import Tokenizer as RustTokenizer
	from tokenizers.tools import EncodingVisualizer
	from transformers import AutoTokenizer, PreTrainedTokenizerBase

	SAMPLE_TEXT = '''class DyT(nn.Module):

	# Copy file contents or stdin to clipboard
	# Usage: cz [file]
	# cz file.txt - copy file to clipboard
	# cmd \| cz - copy stdin to clipboard
	# Fails on: binary files, files >10MB, non-existent files
	cz() {
	if [ -z "$1" ]; then
	xclip -selection clipboard
	elif [ -f "$1" ]; then
	# Check if it's a text file

	#!/usr/bin/env python3
	"""
	Markdown broken link checker - properly distinguishes between URLs and file paths.
	"""

	import re
	import sys
	import argparse
	from pathlib import Path
	from typing import Dict, List, Tuple, Optional, Set, Iterator

	<!DOCTYPE html>
	<html lang="en">
	<head>
	<meta charset="utf-8" />
	<meta name="viewport" content="width=device-width,initial-scale=1" />
	<title>Clock AI</title>
	<style>
	:root {
	--bg: #0a0b0d;
	--panel: #141518;

	from transformers import AutoProcessor, AutoModelForImageTextToText
	from transformers.image_utils import load_image

	# Load model and processor
	model_id = "LiquidAI/LFM2-VL-1.6B"
	model = AutoModelForImageTextToText.from_pretrained(
	model_id, device_map="auto", torch_dtype="bfloat16", trust_remote_code=True
	)
	processor = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)

	# Font configuration - all font settings in ONE section
	[font]
	size = 15.0
	builtin_box_drawing = false # 0xProto has its own box drawing chars

	[font.normal]
	family = "0xProto"
	style = "Regular"

	[font.bold]

	%%writefile emoji_search.py
	#!/usr/bin/env python3
	"""
	Emoji Semantic Search CLI

	reqs:
	pip install fire sentence-transformers pandas numpy

	Usage:
	python emoji_search.py "that is flames"