Cyrilvallez

import numpy as np
import matplotlib.pyplot as plt
import json

def load_json(filename: str) -> dict:
    with open(filename, 'r') as fp:
        data = json.load(fp)
    
    out = {}
    for k1, v1 in data.items():

typeofweb

// See https://typeofweb.hashnode.dev/nextjs-prefetch-onmouseenter for a detailed explanation and more code
// See it in action: https://demo.yournextstore.com
"use client";

import Link from "next/link";
import { useRouter } from "next/navigation";
import { type ComponentPropsWithRef } from "react";

export const SuperLink = (props: ComponentPropsWithRef<typeof Link>) => {
	const router = useRouter();

mtisz

base_model: meta-llama/Meta-Llama-3-70B
model_type: LlamaForCausalLM
tokenizer_type: AutoTokenizer

load_in_8bit: false
load_in_4bit: true
strict: false

datasets:
  - path: /home/migel/ai_datasets/tess-v1.5b-chatml.jsonl

huseinzol05

kalomaze

# coding=utf-8
# Copyright 2023 Mixtral AI and the HuggingFace Inc. team. All rights reserved.
#
# This code is based on EleutherAI's GPT-NeoX library and the GPT-NeoX
# and OPT implementations in this library. It has been modified from its
# original forms to accommodate minor architectural differences compared
# to GPT-NeoX and OPT used by the Meta AI team that trained the model.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.

dhh

#!/usr/bin/env bash

# Abort sign off on any error
set -e

# Start the benchmark timer
SECONDS=0

# Repository introspection
OWNER=$(gh repo view --json owner --jq .owner.login)

haixuanTao

nodes:
  - id: webcam
    custom:
      source: https://huggingface.co/datasets/dora-rs/dora-idefics2/raw/main/operators/opencv_stream.py
      outputs:
        - image
  - id: idefics2
    operator:
      python:  https://huggingface.co/datasets/dora-rs/dora-idefics2/raw/main/operators/idefics2_op.py
      inputs:

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)_/¯

anadim

import anthropic

client = anthropic.Anthropic(
    # defaults to os.environ.get("ANTHROPIC_API_KEY")
    api_key="my_api_key",
)
message = client.messages.create(
    model="claude-3-opus-20240229",
    max_tokens=4000,
    temperature=0,

marty0678

# Views
class UserProfileViewSet(BaseModelViewSet):
    """View set for the UserProfile."""

    ENABLE_LIST = True
    ENABLE_RETRIEVE = True
    ENABLE_PARTIAL_UPDATE = True
    
    ENABLE_PAGINATION = True
    LIST_CACHE_KEY = "users:user-profiles-list"