Implement and Train a Transformer Model in 4 Minutes (NLP)

preview_player
Показать описание
Learn how to implement and train a Transformer model called BERT to perform word prediction with just a few lines of Python code.

Happy Transformer's word prediction training documentation:

Hugging Face page for the model we used:

  1. Vennify AI
  2. NLP
  3. Natural Language Processing
  4. AI
  5. transformers
  6. transformer
Рекомендации по теме
Implement and Train 0:04:09

Implement and Train a Transformer Model in 4 Minutes (NLP)

Coding a Transformer 2:59:24

Coding a Transformer from scratch on PyTorch, with full explanation, training and inference.

What are Transformers 0:05:50

What are Transformers (Machine Learning Model)?

Transformers, explained: Understand 0:09:11

Transformers, explained: Understand the model behind GPT, BERT, and T5

Tutorial 1-Transformer And 0:24:30

Tutorial 1-Transformer And Bert Implementation With Huggingface

Attention is all 0:58:04

Attention is all you need (Transformer) - Model explanation (including math), Inference and Training

Transformer Neural Networks, 0:36:15

Transformer Neural Networks, ChatGPT's foundation, Clearly Explained!!!

Lecture 21 - 1:01:13

Lecture 21 - Transformer Implementation

François Charton | 1:10:13

François Charton | Transformers meet Lyapunov

How to Implement 0:10:49

How to Implement and Train Text Classification Transformer Models (NLP)

Illustrated Guide to 0:15:01

Illustrated Guide to Transformers Neural Network: A step by step explanation

Tutorial 2- Fine 0:15:46

Tutorial 2- Fine Tuning Pretrained Model On Custom Dataset Using 🤗 Transformer

Getting Started With 0:14:49

Getting Started With Hugging Face in 15 Minutes | Transformers, Pipeline, Tokenizer, Models

Transformer-Based Time Series 0:06:33

Transformer-Based Time Series with PyTorch (10.3)

Custom Training Question 0:25:12

Custom Training Question Answer Model Using Transformer BERT

Vision Transformer Quick 0:16:51

Vision Transformer Quick Guide - Theory and Code in (almost) 15 min

How a Transformer 0:49:53

How a Transformer works at inference vs training time

TensorFlow Transformer model 0:26:06

TensorFlow Transformer model from Scratch (Attention is all you need)

Implement and Train 0:07:13

Implement and Train Word Prediction Transformer Models With Only a Few Lines of Code

What is BERT? 0:23:03

What is BERT? | Deep Learning Tutorial 46 (Tensorflow, Keras & Python)

BERT Neural Network 0:11:37

BERT Neural Network - EXPLAINED!

Vision Transformer in 0:29:52

Vision Transformer in PyTorch

PyTorch code Vision 0:23:18

PyTorch code Vision Transformer: Apply ViT models pre-trained and fine-tuned | AI Tech

Neural Transformer Encoders 0:08:24

Neural Transformer Encoders for Timeseries Data in Keras (10.5)

Комментарии
Автор

Links mentioned in this video:



Happy Transformer's word prediction training documentation:


Hugging Face page for the model we used:

vennify
Автор

Hello. I am a master2 student and my thesis topic is about automatic text generation of product descriptions using transformers(GPT-2 or GPT-3). I did web scrapping of fashion dataset includes titles and descriptions but I don't know next step, so please if you can help me please how can i train a model to generate descriptions from title input. thank you

hamzabehilil