JaeDukSeo

JaeDukSeo

"""
Invode the conda environment gpt_neo_generation before running this file.
Specify the prompt in prompt.txt
"""

from transformers import GPTNeoForCausalLM, GPT2Tokenizer
import time

def main():
    start_time = time.time()

JaeDukSeo

JaeDukSeo

JaeDukSeo

#!/usr/bin/env python
# coding=utf-8
# Copyright 2018 Google AI, Google Brain and Carnegie Mellon University Authors and the HuggingFace Inc. team.
# Copyright (c) 2018, NVIDIA CORPORATION.  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

JaeDukSeo

#!/usr/bin/env python
# coding=utf-8
# Copyright 2020 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
#

JaeDukSeo

#
#   fashion_mnist_theano.py
#       date. 10/2/2017
#
#   REM: I read the article for stopping development of "THEANO".
#        The deep learning framework stimulated me and made me write codes. 
#        I'd like to say thank you to Theano supporting team.
#

import os

JaeDukSeo

# Tiny example of 3-layer nerual network with dropout in 2nd hidden layer
# Output layer is linear with L2 cost (regression model)
# Hidden layer activation is tanh

import numpy as np

n_epochs = 100
n_samples = 100
n_in = 10
n_hidden = 5

JaeDukSeo

Project Name

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Installation

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Usage

JaeDukSeo

Project Title

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Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

Prerequisites