🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.

Last update: Dec 21, 2022

Overview

🤗 🖼️ HuggingPics

Fine-tune Vision Transformers for anything using images found on the web.

Check out the video below for a walkthrough of this project! ⤵️

Usage

Click on the link below to try it out:

How does it work?

1. You define your search terms

2. We download ~150 images for each and use them to fine-tune a ViT

3. You push your model to HuggingFace's Hub to share your results with the world

Your auto-generated model repo will look something like this. Pretty cool, eh? 😎

Examples

💡 If you need some inspiration, take a look at the examples below:

	nateraw/rare-puppers	nateraw/pasta-pizza-ravioli	nateraw/baseball-stadium-foods	nateraw/denver-nyc-paris
term_1	samoyed	pizza	cotton candy	denver
term_2	shiba inu	pasta	hamburger	new york city
term_3	corgi	ravioli	hot dog	paris
term_4			nachos
term_5			popcorn

You can see a full list of model repos created using this tool by clicking here

You might also like...

A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/casual, active/passive, and many more. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

Styleformer A Neural Language Style Transfer framework to transfer natural language text smoothly between fine-grained language styles like formal/cas

431 Dec 19, 2022

[ICCV 2021] Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification

Counterfactual Attention Learning Created by Yongming Rao*, Guangyi Chen*, Jiwen Lu, Jie Zhou This repository contains PyTorch implementation for ICCV

89 Dec 18, 2022

A framework for evaluating Knowledge Graph Embedding Models in a fine-grained manner.

13 Sep 8, 2022

:mag: Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline. Supporting DPR, Elasticsearch, HuggingFace's Modelhub...

Haystack is an end-to-end framework for Question Answering & Neural search that enables you to ... ... ask questions in natural language and find gran

6.4k Jan 9, 2023

Guide: Finetune GPT2-XL (1.5 Billion Parameters) and GPT-NEO (2.7 B) on a single 16 GB VRAM V100 Google Cloud instance with Huggingface Transformers using DeepSpeed

Guide: Finetune GPT2-XL (1.5 Billion Parameters) and GPT-NEO (2.7 Billion Parameters) on a single 16 GB VRAM V100 Google Cloud instance with Huggingfa

289 Jan 6, 2023

Composed Image Retrieval using Pretrained LANguage Transformers (CIRPLANT)

CIRPLANT This repository contains the code and pre-trained models for Composed Image Retrieval using Pretrained LANguage Transformers (CIRPLANT) For d

29 Nov 17, 2022

Document processing using transformers

Doc Transformers Document processing using transformers. This is still in developmental phase, currently supports only extraction of form data i.e (ke

13 Dec 21, 2022

[ICCV 2021] Instance-level Image Retrieval using Reranking Transformers

Instance-level Image Retrieval using Reranking Transformers Fuwen Tan, Jiangbo Yuan, Vicente Ordonez, ICCV 2021. Abstract Instance-level image retriev

86 Dec 28, 2022

A method for cleaning and classifying text using transformers.

NLP Translation and Classification The repository contains a method for classifying and cleaning text using NLP transformers. Overview The input data

0 Nov 15, 2022

Comments

Can't instantiate abstract class Classifier with abstract methods forward

Hi

Thank you for this straight forward codes for us to practice fine-tuning models with ViT. I'm on a project that classifying book covers. Everything goes well on my own dataset until trying to define classifier. An error message popped up "Can't instantiate abstract class Classifier with abstract methods forward". As I looked up the pytorch lightning code about forward(), it is indeed an abstract class. No idea why the error since the method was initiated in the init() method.

Has anyone run into this issue yet?

opened by e-choness 5
Image search returns max 35 results

Hi,

The image search at https://huggingface.co/api/experimental/images/search returns max 35 results. Values lower than 35 in the "count" parameter are honored; values above 35 are ignored and 35 results are returned. Your great tutorial suggests that 150 results can be gathered through this API for each query. Has the image search API changed? Thank you!

opened by dumbshow 4
Issue fitting the model - RuntimeError: Found dtype Long but expected Float
I'm having an issue on fitting the model. Given your example, HuggingPics works just fine. However, when I attempted to train my own model with one class with iron man, I am having issues under the Training section, cell 2, in particular

pl.seed_everything(42) classifier = Classifier(model, lr=2e-5) trainer = pl.Trainer(gpus=1, precision=16, max_epochs=4) trainer.fit(classifier, train_loader, val_loader) # ERROR HERE

I tried to pin point the issue, but it was to no avail. First, I attempted to convert the encoding to a float in ImageClassificationCollator. However, that threw a new error for the same line,

ValueError: The target has to be an integer tensor.

I thought the error could be because of not enough classes, but that wasn't the case. I also thought it was because there wasn't enough data, but I I lowered the image count and your example processed fine.
opened by Infinitay 3
Use latest HfApi.create_repo() parameter

Hi, it seems like HfApi.create_repo() parameters are updated and no longer treat 'name' as valid parameter. Made this PR to solve error when pushing model to huggingface hub

TypeError: create_repo() got an unexpected keyword argument 'name'

opened by rizvand 0

Releases(v0.0.1)

v0.0.1(Nov 17, 2021)

Add package huggingpics to PyPi, which lets you build imagefolders for anything from your local machine instead of just Colab.

Cheers! 🍻
Source code(tar.gz)
Source code(zip)

Owner

Nathan Raw

Pretending to program

GitHub Repository

Easy Language Model Pretraining leveraging Huggingface's Transformers and Datasets

Easy Language Model Pretraining leveraging Huggingface's Transformers and Datasets What is LASSL • How to Use What is LASSL LASSL은 LAnguage Semi-Super

116 Dec 27, 2022

Use Tensorflow2.7.0 Build OpenAI'GPT-2

TF2_GPT-2 Use Tensorflow2.7.0 Build OpenAI'GPT-2 使用最新tensorflow2.7.0构建openai官方的GPT-2 NLP模型优点使用无监督技术拥有大量词汇量可实现续写（堪比“xx梦续写”）实现对话后续将应用于FloatTech的Bot

9 Sep 13, 2022

Use AutoModelForSeq2SeqLM in Huggingface Transformers to train COMET

Training COMET using seq2seq setting Use AutoModelForSeq2SeqLM in Huggingface Transformers to train COMET. The codes are modified from run_summarizati

9 Dec 17, 2022

The official implementation of "BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Identify Analogies?, ACL 2021 main conference"

BERT is to NLP what AlexNet is to CV This is the official implementation of BERT is to NLP what AlexNet is to CV: Can Pre-Trained Language Models Iden

20 Nov 03, 2022

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

spacy-transformers: Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy This package provides spaCy components and architectures to use tr

1.2k Jan 08, 2023

CATs: Semantic Correspondence with Transformers

CATs: Semantic Correspondence with Transformers For more information, check out the paper on [arXiv]. Training with different backbones and evaluation

74 Dec 10, 2021

Persian-lexicon - A lexicon of 70K unique Persian (Farsi) words

Persian Lexicon This repo uses Uppsala Persian Corpus (UPC) to construct a lexic

7 Apr 01, 2022

An extensive UI tool built using new data scraped from BBC News

BBC-News-Analyzer An extensive UI tool built using new data scraped from BBC New

1 Dec 31, 2021

We have built a Voice based Personal Assistant for people to access files hands free in their device using natural language processing.

Voice Based Personal Assistant We have built a Voice based Personal Assistant for people to access files hands free in their device using natural lang

2 Nov 13, 2021

The proliferation of disinformation across social media has led the application of deep learning techniques to detect fake news.

Fake News Detection Overview The proliferation of disinformation across social media has led the application of deep learning techniques to detect fak

1 Feb 08, 2022

This repository contains examples of Task-Informed Meta-Learning

Task-Informed Meta-Learning This repository contains examples of Task-Informed Meta-Learning (paper). We consider two tasks: Crop Type Classification

10 Dec 19, 2022

基于GRU网络的句子判断程序/A program based on GRU network for judging sentences

SentencesJudger SentencesJudger 是一个基于GRU神经网络的句子判断程序，基本的功能是判断文章中的某一句话是否为一个优美的句子。 English 如何使用SentencesJudger 确认Python运行环境安装pyTorch与LTP python3 -m pip

8 Mar 24, 2022

Twitter-Sentiment-Analysis - Analysis of twitter posts' positive and negative score.

Twitter-Sentiment-Analysis The hands-on project is in Python 3 Programming class offered by University of Michigan via Coursera. The task is to build

1 Jan 03, 2022

Transformer-based Text Auto-encoder (T-TA) using TensorFlow 2.

T-TA (Transformer-based Text Auto-encoder) This repository contains codes for Transformer-based Text Auto-encoder (T-TA, paper: Fast and Accurate Deep

13 Dec 13, 2022

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Rasa Open Source Rasa is an open source machine learning framework to automate text-and voice-based conversations. With Rasa, you can build contextual

15.3k Jan 03, 2023