What are Encoders or autoencoding models in transformers?

This recipe explains what are Encoders or autoencoding models in transformers.

Get access to Data Science projects View all Data Science projects
MACHINE LEARNING RECIPES DATA CLEANING PYTHON DATA MUNGING PANDAS CHEATSHEET     ALL TAGS

Recipe Objective - What are Encoders or autoencoding models in transformers?

By distorting the input tokens in some way and attempting to recreate the original text, encoders or autoencoding models are pre-trained. They are similar to the encoder in the original transformer model in that they have full access to all inputs without the need for a mask. Typically, these models construct a bidirectional representation of the entire sentence. They may be fine-tuned and obtain excellent results on a variety of tasks, including text generation, but sentence classification or token classification is their most natural use. BERT is a good example of such a model.

Explore the BERT Variants - ALBERT vs DistilBERT

Types of Encoders or autoencoding models:

* BERT
* ALBERT
* Funnel Transformer
* RoBERTa
* DistilBERT
* ConvBERT
* XLM
* FlauBERT
* ELECTRA
* Longformer
* XLM-RoBERTa

For more related projects -

/projects/data-science-projects/deep-learning-projects
/projects/data-science-projects/neural-network-projects

What Users are saying..

profile image

Anand Kumpatla

Sr Data Scientist @ Doubleslash Software Solutions Pvt Ltd
linkedin profile url

ProjectPro is a unique platform and helps many people in the industry to solve real-life problems with a step-by-step walkthrough of projects. A platform with some fantastic resources to gain... Read More

Relevant Projects

Machine Learning Projects
Data Science Projects
Python Projects for Data Science
Data Science Projects in R
Machine Learning Projects for Beginners
Deep Learning Projects
Neural Network Projects
Tensorflow Projects
NLP Projects
Kaggle Projects
IoT Projects
Big Data Projects
Hadoop Real-Time Projects Examples
Spark Projects
Data Analytics Projects for Students

You might also like

Data Science Tutorial
Data Scientist Salary
How to Become a Data Scientist
Data Analyst vs Data Scientist
Data Scientist Resume
Data Science Projects for Beginners
Machine Learning Engineer
Machine Learning Projects for Beginners
Datasets
Pandas Dataframe
Machine Learning Algorithms
Regression Analysis
MNIST Dataset
Data Science Interview Questions
Python Data Science Interview Questions
Spark Interview Questions
Hadoop Interview Questions
Data Analyst Interview Questions
Machine Learning Interview Questions
AWS vs Azure
Hadoop Architecture
Spark Architecture

Relevant Projects

Build Piecewise and Spline Regression Models in Python
In this Regression Project, you will learn how to build a piecewise and spline regression model from scratch in Python to predict the points scored by a sports team.
View Project Details
Image Segmentation using Mask R-CNN with Tensorflow
In this Deep Learning Project on Image Segmentation Python, you will learn how to implement the Mask R-CNN model for early fire detection.
View Project Details
Azure Deep Learning-Deploy RNN CNN models for TimeSeries
In this Azure MLOps Project, you will learn to perform docker-based deployment of RNN and CNN Models for Time Series Forecasting on Azure Cloud.
View Project Details
OpenCV Project to Master Advanced Computer Vision Concepts
In this OpenCV project, you will learn to implement advanced computer vision concepts and algorithms in OpenCV library using Python.
View Project Details
Build a Multi-Class Classification Model in Python on Saturn Cloud
In this machine learning classification project, you will build a multi-class classification model in Python on Saturn Cloud to predict the license status of a business.
View Project Details
Build an Image Classifier for Plant Species Identification
In this machine learning project, we will use binary leaf images and extracted features, including shape, margin, and texture to accurately identify plant species using different benchmark classification techniques.
View Project Details
LLM Project to Build and Fine Tune a Large Language Model
In this LLM project for beginners, you will learn to build a knowledge-grounded chatbot using LLM's and learn how to fine tune it.
View Project Details
PyTorch Project to Build a GAN Model on MNIST Dataset
In this deep learning project, you will learn how to build a GAN Model on MNIST Dataset for generating new images of handwritten digits.
View Project Details
Build Multi Class Text Classification Models with RNN and LSTM
In this Deep Learning Project, you will use the customer complaints data about consumer financial products to build multi-class text classification models using RNN and LSTM.
View Project Details
NLP Project for Beginners on Text Processing and Classification
This Project Explains the Basic Text Preprocessing and How to Build a Classification Model in Python
View Project Details