firmai

janlukasschroeder

ashleyha

from transformers import MarianTokenizer, AutoModelForSeq2SeqLM

text = 'Рада познакомиться'
mname = 'Helsinki-NLP/opus-mt-ru-en'
tokenizer = MarianTokenizer.from_pretrained(mname)
model = AutoModelForSeq2SeqLM.from_pretrained(mname)
input_ids = tokenizer.encode(text, return_tensors="pt")
outputs = model.generate(input_ids)
decoded = tokenizer.decode(outputs[0], skip_special_tokens=True)
print(decoded) #Nice to meet you

minlaxz

# create a file and (name your wish) , then add this content to the file.
# OR 
# sudo vim /etc/systemd/system/jupyter-lab.service
# paste code below
# Esc , shift z z

[Unit]
Description=Start Jupyter Lab Server at Boot

[Service]

seanorama

PySpark on YARN in self-contained environments

Author: https://github.com/seanorama

Note: This was tested on HDP 3.1. It may not work with other Spark/YARN distributions.

Reference:

• https://community.cloudera.com/t5/Community-Articles/Using-VirtualEnv-with-PySpark/ta-p/245905
• https://community.cloudera.com/t5/Community-Articles/Running-PySpark-with-Conda-Env/ta-p/247551

y0ast

Now available here: https://github.com/y0ast/pytorch-snippets/tree/main/fast_mnist

stoensin

# 求最大公约数
def gcd(pair):
    a, b = pair
    low = min(a, b)
    for i in range(low, 0, -1):
        if a % i == 0 and b % i == 0:
            return i

numbers = [
    (1963309, 2265973), (1879675, 2493670), (2030677, 3814172),

slowkow

#!/usr/bin/env python
"""
Remove emoji from a text file and print it to stdout.

Usage
-----

    python remove-emoji.py input.txt > output.txt

"""

Mahedi-61

#!/bin/bash

### steps ####
# Verify the system has a cuda-capable gpu
# Download and install the nvidia cuda toolkit and cudnn
# Setup environmental variables
# Verify the installation
###

### to verify your gpu is cuda enable check

ypwhs