Hugging

Britney smears herself with cake in ‘disturbing’ Instagram return(Pic Credit: Instagram) Pop icon Britney Spears shared a sexy Santa dance with fans as she made a dramatic return to social media — before adding a “disturbing” birthday cake smearing scene into the mix. “The One More Time” singer Britney bounced back to Instagram with a bang as she suggestively swooshed along to classic Christmas tune “Santa Baby” wearing a figure-hugging red suit paired with white knee high boots, reports “The Mirror”. But Britney…

Exploring pre-trained image models on the Hugging Face hub as feature extractors and transfer learners in a land cover classification task> Code Repo: , Notebook: Figure 1. Four representations of satellite images (NAIP satellite) from the well-known Chesapeake Conservancy land cover dataset.In this post, I’ll explore a common practice in representation learning — using pre-trained neural networks in their frozen state as learned feature extractors. Specifically, I’m interested in examining how the performance of…

In simple terms, you can think of DiffEdit approach as a more controlled version of the Image to Image pipeline. DiffEdit takes three inputs-1. An input image2. Caption - Describing the input image3. Target Query - Describe the new image you want to generateand produce a modified version of the original image based on the query text. This process is particularly good if you want to make a slight tweak to the actual image without completely modifying it.Fig. 1: Overview of Diff Edit.As we can see from the image above only…

This is continuation of my previous post — Stable diffusion using Hugging Face | by Aayush Agrawal | Nov, 2022 | Towards Data Science (medium.com).In previous post, I went over all the key components of Stable Diffusion and how to get a prompt to image pipeline working. In this post, I will show how to edit the prompt to image function to add additional functionality to our Stable diffusion pipeline i.e., Negative prompting and Image to Image pipeline. Hopefully, this will provide enough motivation to play around with…

A comprehensive introduction to the world of Stable diffusion using hugging face — Diffusers library for creating AI-generated images using textual promptYou may have seen an uptick in AI-generated images, that’s because of the rise of latent diffusion models. Stable diffusion simply put is a deep learning model which can generate an image given a textual prompt.Fig. 1: Stable diffusion overviewAs we can see from the image above we can pass a textual prompt like “A dog wearing a hat” and a stable diffusion model can…

Those who have spent any time studying models and frameworks for things like audio classification projects, NLP, and/or computer vision, are likely wondering how to use Hugging Face for some of these models. Hugging Face is a platform that serves both as a community for those working with data models as well as a hub for data science models and information. When using Hugging Face for NLP, audio classification, or computer vision users will need to know what Hugging Face has to offer for each project type as opposed to…

The purpose of this article is to demonstrate how to scale out Vision Transformer (ViT) models from Hugging Face and deploy them in production-ready environments for accelerated and high-performance inference. By the end, we will scale a ViT model from Hugging Face by 25x times (2300%) by using Databricks, Nvidia, and Spark NLP.Maziyar PanahiSenior Big Data EngineerSpeed up sate-of-the-art ViT models in Hugging Face 🤗 up to 2300% (25x times faster ) with Databricks, Nvidia, and Spark NLP 🚀I am one of the contributors to…

The most important task in any machine learning model is finding or building a dataset that perfectly accommodates your algorithm. Without the correct foundation, your machine learning model may not perform in its intended way. While well-known sites such as Kaggle allow you to download and utilize thousands of adequate datasets, a few other dataset providers are increasing in popularity. In this article, we will cover one known as Hugging Face. Hugging Face is an open-source dataset provider used mainly for its natural…

Making diffusers models like DALL-E 2 and Imagen more accessible than everEdit by author, background photo by Michael Dziedzic on UnsplashHugging Face, the creators of the transformers library, have just released a whole new library for building diffuser models. If you’re not sure what diffuser models are, think of them as the not-so-secret secret behind some of the most talked about AI models this year.Those insanely beautiful, creative, almost human art pieces you’ve seen all over the internet? They’re images from…

And deploying on Google Chrome with FastAPI and DockerPhoto by Brett Jordan on UnsplashI recently finished the fantastic new Natural Language Processing with Transformers book written by a few guys on the Hugging Face team and was inspired to put some of my newfound knowledge to use with a little NLP-based project. While searching for some ideas I came across an excellent blog post by Tezan Sahu in which he built a Microsoft Edge extension to paraphrase text highlighted on your screen. I wanted to take this a step further…