- #REDDIT HOW TO MAKE TEXT SMALLER FULL#
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These models are much larger than what you see in typical AI tutorials and are harder to wield: the “small” model hits GPU memory limits while finetuning with consumer GPUs, the “medium” model requires additional training techniques before it could be finetuned on server GPUs without going out-of-memory, and the “large” model cannot be finetuned at all with current server GPUs before going OOM, even with those techniques. OpenAI has released three flavors of GPT-2 models to date: the “small” 124M parameter model (500MB on disk), the “medium” 355M model (1.5GB on disk), and recently the 774M model (3GB on disk). Thanks to gpt-2-simple and this Colaboratory Notebook, you can easily finetune GPT-2 on your own dataset with a simple function, and generate text to your own specifications! How GPT-2 Works
#REDDIT HOW TO MAKE TEXT SMALLER CODE#
Enter gpt-2-simple, a Python package which wraps Shepperd’s finetuning code in a functional interface and adds many utilities for model management and generation control. I waited to see if anyone would make a tool to help streamline this finetuning and text generation workflow, a la textgenrnn which I had made for recurrent neural network-based text generation. From there, the proliferation of GPT-2 generated text took off: researchers such as Gwern Branwen made GPT-2 Poetry and Janelle Shane made GPT-2 Dungeons and Dragons character bios.
#REDDIT HOW TO MAKE TEXT SMALLER FREE#
A notebook was created soon after, which can be copied into Google Colaboratory and clones Shepperd’s repo to finetune GPT-2 backed by a free GPU. Neil Shepperd created a fork of OpenAI’s repo which contains additional code to allow finetuning the existing OpenAI model on custom datasets.
#REDDIT HOW TO MAKE TEXT SMALLER FULL#
Or click the image below.At the same time, the Python code which allowed anyone to download the model (albeit smaller versions out of concern the full model can be abused to mass-generate fake news) and the TensorFlow code to load the downloaded model and generate predictions was open-sourced on GitHub. If not, sign up now and get the CS6 Superguide for free. If you’re on our list, you will receive it free by email as soon as it’s available. No spam, all content, no more than once a week. Get exclusive tutorials, discounts and the free super guides. Join our list to receive more tutorials and tips on Photoshop. These little tips help you to produce Web pages with sharper, easier-to-read text. Here is a line with sharp anti-aliasing applied Notice the difference? Here is a line of text with the crisp anti-aliasing applied (Layer>Type>Anti-Alias Crisp). Many people use anti-aliasing on text on the Web, with mixed results. That’s why you can read them from a distance. See how much more legible the text is? Look at a road sign and notice that the tracking is set very wide. In the tracking box (Window> Show Character), increase the amount to 20 Here is a line of text with standard tracking The second trick you can use in Photoshop applies to small text and its tracking, or kerning, which is the spacing between letters. Here they are again, side by side, so you can compare them better. Try it again, but this time choose Bilinear (Or try Bicubic sharper) resampling Here is the result of Bicubic resampling on our text When we go to resize the image (Image> Image Size), Bicubic resampling is the default option. This is particularly useful when you have scanned in blocks of text or line art When resampling blocks of text, there is an option you may not have noticed that will help you achieve sharper results. There are a few little tricks you can do in Adobe Photoshop to make your text look a bit sharper on your Web pages, especially at smaller sizes.
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