pcuenca

import argparse
import numpy as np
import torch
import torch.nn as nn
import coremltools as ct
from transformers import AutoTokenizer, AutoModelForCausalLM

# When using float16, all predicted logits are 0. To be debugged.
compute_precision = ct.precision.FLOAT32
compute_units = ct.ComputeUnit.CPU_ONLY

OrionReed

// 3D Dom viewer, copy-paste this into your console to visualise the DOM as a stack of solid blocks.
// You can also minify and save it as a bookmarklet (https://www.freecodecamp.org/news/what-are-bookmarklets/)
(() => {
  const SHOW_SIDES = false; // color sides of DOM nodes?
  const COLOR_SURFACE = true; // color tops of DOM nodes?
  const COLOR_RANDOM = false; // randomise color?
  const COLOR_HUE = 190; // hue in HSL (https://hslpicker.com)
  const MAX_ROTATION = 180; // set to 360 to rotate all the way round
  const THICKNESS = 20; // thickness of layers
  const DISTANCE = 10000; // ¯\\_(ツ)_/¯

lucataco

""" To use: install Ollama, clone OpenVoice, run this script in the OpenVoice directory
    brew install portaudio
    brew install git-lfs
    git lfs install

    git clone https://github.com/myshell-ai/OpenVoice
    cd OpenVoice
    git clone https://huggingface.co/myshell-ai/OpenVoice
    cp -r OpenVoice/* .
    

thomwolf

""" To use: install LLM studio (or Ollama), clone OpenVoice, run this script in the OpenVoice directory
    git clone https://github.com/myshell-ai/OpenVoice
    cd OpenVoice
    git clone https://huggingface.co/myshell-ai/OpenVoice
    cp -r OpenVoice/* .
    pip install whisper pynput pyaudio
"""

from openai import OpenAI
import time

lnshi

Background

Currently if you try to use the TensorFlow rust bindings crate: tensorflow = "0.17.0", this crate's sub-crate: tensorflow-sys will try to build the underlying TensorFlow C library from the source as Google hasn't provided an official release for Apple M1, but unfortunately the building will fail.

This gist provides a full working instructions for you to build the TensorFlow C library on Apple M1 (darwin_arm64), and eventually use it with the TensorFlow rust bindings crate: tensorflow = "0.17.0".

This gist was tested on TensorFlow v2.8.0, the other versions should work in the same way.

Steps

ryandabler

// Utility types
type Length<T extends any[]> = T extends { length: infer L } ? L : never;

type BuildTuple<L extends number, T extends any[] = []> =
    T extends { length: L }
        ? T
        : BuildTuple<L, [...T, any]>;

type MultiAdd<N extends number, A extends number, I extends number> =
    I extends 0

fernandohu

Reading data before application startup in Angular 2

In this demonstration I will show you how to read data in Angular2 final release before application startup. You can use it to read configuration files like you do in other languages like Java, Python, Ruby, Php.

This is how the demonstration will load data:

a) It will read an env file named 'env.json'. This file indicates what is the current working environment. Options are: 'production' and 'development';

b) It will read a config JSON file based on what is found in env file. If env is "production", the file is 'config.production.json'. If env is "development", the file is 'config.development.json'.

jgoux

angular.module('myApp', ['ionic', 'myApp.services', 'myApp.controllers'])
.run(function(DB) {
    DB.init();
});