gpt 3 python library code example

Example: python gpt2

import aitextgen
ai = aitextgen.aitextgen()
# This loads the 500MB "small" gpt-2 model at first run, creating a folder in the cwd called
# "aitextgen" containing files to start quicker.

# On first use this can take about 15 minutes with a bad GPU, even longer without one.

ai.generate(prompt="This AI can generate text that ")

# On devices without a GPU, an cudart dlerror can occur. However it should tell you right after that you can ignore this error if you don't have a GPU.

# The output could be (it changes depending on the seed):
# This AI can generate text that looks very similar to an image, but it can also generate other types of text:

# You can look at this example and see that the first two lines of the image are identical, but the text is different. That's because the first two lines of the image are the same. It's not that you can't see the two lines of text at the same time; it's that you can't see the same text at two different places in the image.

# The second thing we need to do here is define the type of text that we want. You can do that in the following way:

# $ python # This is a nice example of a language that does not require a large number of variables to be defined. The code is here:

# import text from scipy.language import text_type from scipy.utils import x_text_type from scipy.utils.language import x_text_type from scipy.utils.text import x_text_type

# We need the x_text_type constructor to create a method that uses the x_text_type type. This constructor is called to create a method that is actually used to create the text_