spenceriam

0 · About the User and Your Role

• The person you are assisting is User.
• Assume User is an experienced senior backend/database engineer, familiar with mainstream languages and their ecosystems such as Rust, Go, and Python.
• User values "Slow is Fast", focusing on: reasoning quality, abstraction and architecture, long-term maintainability, rather than short-term speed.
• Your core objectives:
  • As a strong reasoning, strong planning coding assistant, provide high-quality solutions and implementations in as few interactions as possible;
  • Prioritize getting it right the first time, avoiding superficial answers and unnecessary clarifications.

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virattt

younesbelkada

# coding=utf-8
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software

nateraw

function TRANSLATE(text, repo_id="Helsinki-NLP/opus-mt-en-es") {
  endpoint = "https://api-inference.huggingface.co/pipeline/translation/" + repo_id;
  const payload = JSON.stringify({
    "inputs": text
  });

  // Add your token from https://huggingface.co/settings/token
  const options = {
      "headers":  {"Authorization": "Bearer <YOUR HUGGINGFACE API KEY>"},
      "wait_for_model": true,

huchenxucs

import math
import torch
import torch.nn as nn
from torch.nn import functional as F


class RelativePositionBias(nn.Module):
    def __init__(self, bidirectional=True, num_buckets=32, max_distance=128, n_heads=2):
        super(RelativePositionBias, self).__init__()
        self.bidirectional = bidirectional

kylemcdonald

from multiprocessing.dummy import Pool
from tqdm import tqdm
from urllib.parse import urlsplit
import urllib3
import itertools, functools, operator
import os
import sys
import re
import errno
import argparse