stephenlb

# -*- coding: utf-8 -*-
import torch
import math
import numpy as np
import matplotlib.pyplot as plt

import torchvision.io as io
import torchvision.transforms as T

from torch.utils.data import TensorDataset, DataLoader

stephenlb

import tensorflow as tf
import tensorflow_datasets as tfds

(ds_train, ds_test), ds_info = tfds.load(
    'mnist',
    split=['train', 'test'],
    shuffle_files=True,
    as_supervised=True,
    with_info=True,
)

stephenlb

set nowrap
set nobackup
set undofile               " Undo across sessions
set undolevels=800         " Keep 800 changes to be undone
set undodir=~/.vim/tmp/undo//
 
nmap <F2> :.w !pbcopy<CR><CR>
vmap <F2> :w !pbcopy<CR><CR>
 
set noswapfile

stephenlb

brew install neovim
rustup component add rust-analyzer
brew install luajit
sudo ln -s `which luajit` /usr/local/bin/lua
nvim -u NORC -c "source https://raw.githubusercontent.com/lumen-oss/rocks.nvim/master/installer.lua"
nvim
:Rocks install rustaceanvim
:RustAnalyzer start

stephenlb

// https://gist.github.com/stephenlb/d1a2972222864afea79076b793e4f58d

const http = require("xhr");
const pubnub = require("pubnub");
const dataUrl = 'https://gist.githubusercontent.com/stephenlb/d1a2972222864afea79076b793e4f58d/raw/4854f61998c6972a87dc63c257b8c8138ea4a541/Chat-flooding_api_calls.json';
const publishKey = '...............';
const subscribeKey = '...............';

let data = null;
let position = 0;

stephenlb

startup_message off
vbell on
msgwait 1
defscrollback 200000

hardstatus alwayslastline
hardstatus string '%{= kG}[ Stephen Blum ]%{g}[%= %{= kw}%?%-Lw%?%{r}(%{W}%n*%f%t%?(%u)%?%{r})%{w}%?%+Lw%?%?%= %{g}][%{B} %m/%d %{W}%c %{g}]'
caption string "%{W}%n%f %t%?(%u)%?%{r}"

rendition so =rb 04

stephenlb

FemtoGPT Inference Mode

To compile and execute the program from a different source file, such as infer.rs, and name the resulting binary infer, follow these modified instructions:

Step-by-step Instructions

1. Update Project Structure: Create a new source file named infer.rs in the src directory.

   touch src/infer.rs

stephenlb

# YouTube Video https://youtu.be/SDCzXr-mBcw

import torch
import requests
from PIL import Image
from transformers import Blip2Processor, Blip2ForConditionalGeneration
from optimum.bettertransformer import BetterTransformer

# Load the processor and model
processor = Blip2Processor.from_pretrained("Salesforce/blip2-flan-t5-xl")

stephenlb

Images from 120ms to 30ms: Python 🐍 to Rust 🦀🚀 article

stephenlb

AsyncIO PubNub Subscribe Example

Usage example:

pip install asyncio pubnub
export PUBNUB_PUBLISH_KEY=demo
export PUBNUB_SUBSCRIBE_KEY=demo
python main.py