Finetune gpt-2 in google colab

Overview

gpt-2-colab

finetune gpt-2(https://github.com/openai/gpt-2) in google colab

sample result (117M) from retraining on A Tale of Two Cities by Charles Dickens

No, Jerry! Jerry! You're a nice man, Jerry!”

That was all too remarkable. It was not merely impressive, but it took me on a turning short cough, and then swelling and stiffening, and rising to be a nice man, and a man, and not at all strivenly, and wicked.

The wonderful corner for echoes, and the echoes not being the echoes of footsteps that had their shameful imparted on the other side alone, that the time and tide waited for Lucie were sufficiently near the room, that to the utmost remaining of the time, even though assisted off other carriages, and were always ready and drove away that they should not hear themselves, Jerry heard no cry, and were as quick as in the morning if they had to pull up their heads and cidled away together as they could.

The farrier had not been in the barrier when he stopped, for the moment, and was as quick as they could make him.

He was to roll up arms, to get the outer coat to and frolic. He could not have laid down his hand to do so without another rain of the summer drops on high, when he was requested to do so. But, the rain of the summer was very strong and few, and the rain of the autumn month afterwards was strong and warm by those intervals. The storm in the west was very rarely beering, and the storm in the light of the summer was very rarely without it. The storm was really falling, and he stood there for a moment with his hand to open the barrier.

He was so far apart, that he could not have looked at him at all then; for, it was already dark when he looked at this figure, and it looked at IV

(an) seemed to fall, and reappeared, as old as Adam, until the morning, of the hour before.

“I fear the best, well,” said Jerry, stopping in his story, and laying his hand on hers, “what are you?”

“The worst.”

Though he had no hope of saying it, he could have looked at him, and then frowned at another figure, whose surface furnished a kind of dark street before him, for a few jewels.

He looked at it, and glanced at it. The Spy and prison-keeper looked at it, and the Spy showed a broken-hearted look.

“I am very much obliged to them for their looks and faces,” said Jerry. “No, Jerry! They are all in animosity and submission. They are in the habitually consently bad. I know what you have to do with my business. Whether I wait for you under the obligation to do so is the assumption yours. It is little to keep them in their places, to keep them in their times too much, is it not? No, Jerry. It is to keep them in their places, to cost and cost as the like. So much would you cost and change to-do exactly? That is to say, without deigning to say anything that is not at all, and no harm is to be expected of, will you not? No. It will cost nothing to save you, if it wos so, refuse. But it is always in the nature of things, and it is the nature of things. What is it? What would you have to say to me at all as, or to that degree?”

“I would ask you, is it not?”

Hah!” said Jerry, as he paused for the moment to ask him questions.

“It is true,” repeated the last question. “Does it cost to show me no harm, me nothing, yet? No. It is without loss,” repeated the Law; in the resting-looked-down sentiment. “Will you be very soon as restored to you?”

At the Judge, again a Judgeyer.

“If it is not restored to you within a minute, who should shut out the proceedings, and then the prisoner must be put back advance, and then must be removed.”

The Judge, whose eyes had gone in the general direction, leaned back in his seat, and stood ready.

Mr. Attorney-General then, following his leader's guidance, examined his manner with great obsequiousness and closeness, and passing on to the bench and tools, and passing on to Mr. Lorry. After looking at

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

Summarization, translation, Q&A, text generation and more at blazing speed using a T5 version implemented in ONNX. This package is still in alpha stag

Abel 211 Dec 28, 2022
🤖 Basic Financial Chatbot with handoff ability built with Rasa

Financial Services Example Bot This is an example chatbot demonstrating how to build AI assistants for financial services and banking with Rasa. It in

Mohammad Javad Hossieni 4 Aug 10, 2022
Curso práctico: NLP de cero a cien 🤗

Curso Práctico: NLP de cero a cien Comprende todos los conceptos y arquitecturas clave del estado del arte del NLP y aplícalos a casos prácticos utili

Somos NLP 147 Jan 06, 2023
AI Assistant for Building Reliable, High-performing and Fair Multilingual NLP Systems

AI Assistant for Building Reliable, High-performing and Fair Multilingual NLP Systems

Microsoft 37 Nov 29, 2022
Sentence boundary disambiguation tool for Japanese texts (日本語文境界判定器)

Bunkai Bunkai is a sentence boundary (SB) disambiguation tool for Japanese texts. Quick Start $ pip install bunkai $ echo -e '宿を予約しました♪!まだ2ヶ月も先だけど。早すぎ

Megagon Labs 160 Dec 23, 2022
Final Project for the Intel AI Readiness Boot Camp NLP (Jan)

NLP Boot Camp (Jan) Synopsis Full Name: Prameya Mohanty Name of your School: Delhi Public School, Rourkela Class: VIII Title of the Project: iTransect

TheCodingHub 1 Feb 01, 2022
Pangu-Alpha for Transformers

Pangu-Alpha for Transformers Usage Download MindSpore FP32 weights for GPU from here to data/Pangu-alpha_2.6B.ckpt Activate MindSpore environment and

One 5 Oct 01, 2022
CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

CodeBERT This repo provides the code for reproducing the experiments in CodeBERT: A Pre-Trained Model for Programming and Natural Languages. CodeBERT

Microsoft 1k Jan 03, 2023
An end to end ASR Transformer model training repo

END TO END ASR TRANSFORMER 本项目基于transformer 6*encoder+6*decoder的基本结构构造的端到端的语音识别系统 Model Instructions 1.数据准备: 自行下载数据,遵循文件结构如下: ├── data │ ├── train │

旷视天元 MegEngine 10 Jul 19, 2022
Correctly generate plurals, ordinals, indefinite articles; convert numbers to words

NAME inflect.py - Correctly generate plurals, singular nouns, ordinals, indefinite articles; convert numbers to words. SYNOPSIS import inflect p = in

Jason R. Coombs 762 Dec 29, 2022
Text editor on python to convert english text to malayalam(Romanization/Transiteration).

Manglish Text Editor This is a simple transiteration (romanization ) program which is used to convert manglish to malayalam (converts njaan to ഞാൻ ).

Merin Rose Tom 1 May 11, 2022
Linking data between GBIF, Biodiverse, and Open Tree of Life

GBIF-biodiverse-OpenTree Linking data between GBIF, Biodiverse, and Open Tree of Life The python scripts will rely on opentree and Dendropy. To set up

2 Oct 03, 2022
Translates basic English sentences into the Huna language (hoo-NAH)

huna-translator The Huna Language Translates basic English sentences into the Huna language (hoo-NAH). The Huna constructed language was developed in

Miles Smith 0 Jan 20, 2022
A Python script which randomly chooses and prints a file from a directory.

___ ____ ____ _ __ ___ / _ \ | _ \ | _ \ ___ _ __ | '__| / _ \ | |_| || | | || | | | / _ \| '__| | | | __/ | _ || |_| || |_| || __

yesmaybenookay 0 Aug 06, 2021
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

NLP-Models-Tensorflow, Gathers machine learning and tensorflow deep learning models for NLP problems, code simplify inside Jupyter Notebooks 100%. Tab

HUSEIN ZOLKEPLI 1.7k Dec 30, 2022
NLP: SLU tagging

NLP: SLU tagging

北海若 3 Jan 14, 2022
CorNet Correlation Networks for Extreme Multi-label Text Classification

CorNet Correlation Networks for Extreme Multi-label Text Classification Prerequisites python==3.6.3 pytorch==1.2.0 torchgpipe==0.0.5 click==7.0 ruamel

Guangxu Xun 38 Dec 31, 2022
Score-Based Point Cloud Denoising (ICCV'21)

Score-Based Point Cloud Denoising (ICCV'21) [Paper] https://arxiv.org/abs/2107.10981 Installation Recommended Environment The code has been tested in

Shitong Luo 79 Dec 26, 2022
Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"

This repository contains code for the following two papers: VisualBERT: A Simple and Performant Baseline for Vision and Language (arxiv) with a short

Natural Language Processing @UCLA 464 Jan 04, 2023
This codebase facilitates fast experimentation of differentially private training of Hugging Face transformers.

private-transformers This codebase facilitates fast experimentation of differentially private training of Hugging Face transformers. What is this? Why

Xuechen Li 73 Dec 28, 2022