Peter pszemraj

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

LLM Foundry Configuration Reference

This document provides a comprehensive reference for all configuration options available in LLM Foundry YAML files. Configuration files are used for training, fine-tuning, and evaluating large language models.

	<!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"

	# -- coding: utf-8 --
	"""gemma-3n-test

	pip install -U -q git+https://github.com/huggingface/transformers.git
	pip install -U -q git+https://github.com/huggingface/pytorch-image-models.git
	"""

	from transformers import pipeline
	import torch

	#!/usr/bin/env python3
	"""
	Slice a (possibly very tall) image into fixed-height chunks.

	Creates a sibling directory called <image stem>_slices/
	and writes slice_000.png, slice_001.png, … inside it.
	"""

	import argparse
	from pathlib import Path

	"""
	Create & save an hf dataset with train/test/val splits from dir w/ text files

	Ideal structure:

	root / section_name_1 / file 1
	root / section_name_1 / file 2
	root / section_name_1 / file YYY
	root / section_name_2 / file 1
	root / section_name_2 / file ZZZ

	#!/usr/bin/env python
	# -- coding: utf-8 --
	"""
	Standalone Asynchronous Nanonets-OCR-s Inference Script using vLLM and PyMuPDF.

	This script processes PDF files from an input directory using the
	nanonets/Nanonets-OCR-s model served locally by vLLM via its OpenAI-compatible API.
	It renders each page, sends API requests concurrently for OCR, extracts the
	structured markdown/HTML text, and saves the combined text for each PDF into a
	corresponding .txt file in the specified output directory.

Peter pszemraj

copy to clipboard from wsl

LLM Foundry Configuration Reference

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