Generating text with GPT-2 and Saturn Cloud

by faviovazquez

notebooks/GPT2_Pytorch.ipynb

!python main.py --text "AI is the new electricity" --top_k=10
Namespace(batch_size=-1, length=-1, nsamples=1, quiet=False, temperature=0.7, text='AI is the new electricity', top_k=10, unconditional=False)
AI is the new electricity
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-generating power plant that will produce electricity from solar, wind and geothermal. The company has been working on a project for years to create solar power from coal, oil and natural gas.

The company plans to build the plant in a 1,100-megawatt facility with a capacity of 1.5 million megawatts, the company said. The plant is expected to produce up to 10 million kilowatt hours of electricity a year.

The company said it hopes to begin work on the plant at the end of 2014, but the project is still in its early stages.

"The cost of the project is still being assessed and the company is still working on the project and we are working on the construction," said Mark Burd, the company's senior vice president of business development.

"The project will be completed by the end of 2014 and it is anticipated that it will be completed by the beginning of 2015."

Burd said the company expects to be able to generate up to 30 million kilowatt hours of power from the project by the middle of the year, and is looking at the possibility of generating up to 30 million kilowatt hours by the end of 2015.

The plant is expected to create up to 20 million kilowatt hours of electricity a year, Burd said.

"We have a number of projects in the pipeline for solar power. We are looking at other projects that could provide a different energy source for our customers."

The company will also invest in other renewable power projects.

The company will also invest in the development of new wind turbines and other renewable energy, Burd said.

In January, the company announced plans to build the world's first battery-electricity grid.

The grid is powered by solar power, and it will produce up to 10 percent of the grid's power by 2030.

Burd said the company has a "very large portfolio" of renewable energy projects in the works.

The company is also working on an energy storage project for the United States.

The project, called "Solar Power Storage," will be the first of its kind on the grid, he said, with the project expected to produce up to 50 percent of its electricity from the grid.

The grid is expected to be able to store electricity in a grid that is 100 percent renewable.

"The grid is the most efficient grid we have in the world. We can store energy in
!python main.py --text "Data science needs practice. Everything you learn, even though if the professor doesn't tell you, practice and try it. This is fundamental to really comprehend things and when you are working in the field you will be doing a lot of different practical stuff." --top_k=20
Namespace(batch_size=-1, length=-1, nsamples=1, quiet=False, temperature=0.7, text="Data science needs practice. Everything you learn, even though if the professor doesn't tell you, practice and try it. This is fundamental to really comprehend things and when you are working in the field you will be doing a lot of different practical stuff.", top_k=20, unconditional=False)
Data science needs practice. Everything you learn, even though if the professor doesn't tell you, practice and try it. This is fundamental to really comprehend things and when you are working in the field you will be doing a lot of different practical stuff.
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What are some of the best examples of practice?

I'm not sure what I'd call a good example of practice.

First of all, I have to admit that I'm not really sure what I'm trying to say. I'm not even sure if I'm trying to say that this is really what I'm trying to say.

Then, I'm looking at what I think this is going to be like. It's going to be a really, really bad case of the "why?" I'm not sure exactly what it is.

But what I am sure of is that this is going to be a really, really, really bad case of the "how."

I'm not sure how this is going to be like.

I know that this is going to be a really bad case of the "what?" I'm not sure exactly what it is. But I'm really not sure.

I know that this is going to be a really, really bad case of the "how." I know that this is going to be a really, really bad case of the "why." I'm not sure what I am sure of. But I am really not sure.

I'm not sure what I am sure of. But I am really not sure. But I am really not sure. I'm not sure.

But I am really not sure. But I am really not sure. I'm really not sure. I'm really not sure.

But I am really not sure. But I am really not sure. But I am really not sure.

But I am really not sure. But I am really not sure.

But I am really not sure. But I am really not sure.

But I am really not sure. But I am really not sure.

But I am really not sure. But I am really not sure.

But I am really not sure. But I am really not sure.

But I am really not sure. But I am really not sure.

But I am really not sure. But I am really not sure.

But I am really not sure. But I am really not sure.

But I am really not sure. But I am really not sure.

But I am really not sure. But I am really not sure.

But I am really not sure. But I am really not sure.

But I
!python main.py --text "Data science needs practice. Everything you learn, even though if the professor doesn't tell you, practice and try it. This is fundamental to really comprehend things and when you are working in the field you will be doing a lot of different practical stuff." --top_k=10 --temperature=0.8
Namespace(batch_size=-1, length=-1, nsamples=1, quiet=False, temperature=0.8, text="Data science needs practice. Everything you learn, even though if the professor doesn't tell you, practice and try it. This is fundamental to really comprehend things and when you are working in the field you will be doing a lot of different practical stuff.", top_k=10, unconditional=False)
Data science needs practice. Everything you learn, even though if the professor doesn't tell you, practice and try it. This is fundamental to really comprehend things and when you are working in the field you will be doing a lot of different practical stuff.
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You can learn how to do things with a lot of different people. There are many things that people can learn from a teacher, and you can learn from them.

What's your experience with working at a company and what is your experience working in your field? I am a big believer in the ability of a good employee to do something.

I have been an employee of many companies for many years and I have been a great mentor to many people. I have worked with many people in the industry including myself and my colleagues at many. I have also worked with a few people in the business and they have been great mentors to me. So, I have been an employee of the company for many years and have been a great mentor to many people. I have worked with many people in the industry including myself and my colleagues at many. I have also worked with a few people in the business and they have been great mentors to me. So, I have been an employee of the company for many years and have been a great mentor to many people. So, let's talk about the different types of employees that you have.

A company employee is someone who does something with the job. They are not part of the group. They are not part of the group, they are not part of the group. A company employee is someone who does something that is not part of the group. They are not part of the group. A company employee is someone who does something that is not part of the group. They are not part of the group. A company employee is someone who does something that is not part of the group. They are not part of the group. A company employee is someone who does something that is not part of the group. They are not part of the group. A company employee is someone who does something that is not part of the group. They are not part of the group. They are not part of the group.

You have been in the industry for a long time, and it has been a very long time. It has been a very long time. It is a very long time. It is a long time. It is a long time. It is long time. It is a long time. It is a long time.

How long have you been in the industry?

I have been in the industry for a long time, and it has been a very long time. It has been a very long time. It is a very long time. It
!python main.py --text "A data scientist is not someone who knows how to use Python or R, is the person that can improve and optimize how a business work by understanding the data they have and create models that explain the complexity of reality while creating solutions that can drive actions, specific actions related to the business." --top_k=40 --temperature=0.9
Namespace(batch_size=-1, length=-1, nsamples=1, quiet=False, temperature=0.9, text='A data scientist is not someone who knows how to use Python or R, is the person that can improve and optimize how a business work by understanding the data they have and create models that explain the complexity of reality while creating solutions that can drive actions, specific actions related to the business.', top_k=40, unconditional=False)
A data scientist is not someone who knows how to use Python or R, is the person that can improve and optimize how a business work by understanding the data they have and create models that explain the complexity of reality while creating solutions that can drive actions, specific actions related to the business.
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Data Scientist

When working on an application or business, you need a data scientist to know what kind of data the application or business needs. When it comes to making an informed decision, you need someone who understands how to write a great data visualization (or analytics) application. That person can also understand the data that is coming in and determine the best way to use the data.

Data Scientist

When it comes to analyzing data in your data, you need someone to understand what types of data you are looking at and how you would use those types of data in your business case. That person can also understand the data that is coming in and determine the best way to use what types of data in that business case.

Data scientist

Data scientist is one person who can help you develop better business solutions with data in mind. That person can also help you create better business decisions so that the data is better explained to your customers. That person could also help you with your data analysis software and learn how to better analyze your data.

Data scientist

Data scientist is one person who can help you define and apply business solutions that are best suited to your business. That person can also help you develop better business outcomes at the product level.

Data scientist

Data scientist is one person who can help you understand the business model and know where the data comes from to create better outcomes. That person can also help you create better business outcomes at the product level.

Data scientist<|endoftext|>The Supreme Court has allowed Congress to override the 2015 decision by the U.S. Court of Appeals for the 15th Circuit to approve the appointment of a special counsel to investigate Hillary Clinton's use of a private email server.

The ruling, issued by Solicitor General Stephen Breyer of Massachusetts, said that the Supreme Court should not rule on whether the Clinton Foundation violated any law.

The opinion was greeted with applause from the assembled gallery.

It read, as it did, of Obama's decision to appoint a special counsel to investigate Clinton's use of a private email server despite concerns that such a probe would violate the president's constitutional power.

"The President has repeatedly sought to restore the public trust in government by appointing special counsels to investigate Hillary Clinton's use of a private email account in 2015," said the statement, cited by Reuters.

"As has often been the case, the decision to appoint such special counsels has been challenged by many and was ultimately overturned by