Pytorch Seq2Seq Tutorial for Machine Translation

Web Reference: Mar 27, 2025 · as of now, pytorch which supports cuda 12.8 is not released yet. but unofficial support released nightly version of it. here are the commands to install it. so with this pytorch version you can use it on rtx 50XX. I've got 5080 and it works just fine. Sep 8, 2023 · I'm trying to install PyTorch with CUDA support on my Windows 11 machine, which has CUDA 12 installed and python 3.10. When I run nvcc --version, I get the following output: nvcc: NVIDIA (R) Cuda Jun 1, 2023 · The cuda-pytorch installation line is the one provided by the OP (conda install pytorch -c pytorch -c nvidia), but it's reaaaaally common that cuda support gets broken when upgrading many-other libraries, and most of the time it just gets fixed by reinstalling it (as Blake pointed out).

YouTube Excerpt: In this tutorial we build a Sequence to Sequence (Seq2Seq) model from scratch and apply it to machine translation on a dataset with German to English sentences, specifically the Multi30k dataset. There was a lot of things to go through and explain so the video is a bit longer than my normal videos, but I really felt I wanted to share my thoughts, explanations and the details of the implementation! Resources I used and read to learn about Seq2Seq: https://github.com/bentrevett https://arxiv.org/abs/1409.3215 https://pytorch.org/tutorials/intermediate/seq2seq_translation_tutorial.html Comment on resources: I think bentrevett on Github is awesome and I was heavily inspired in this video by his Seq2Seq Tutorials and I really recommend checking him out, he puts out a lot of great tutorials on his Github. ❤️ Support the channel ❤️ https://www.youtube.com/channel/UCkzW5JSFwvKRjXABI-UTAkQ/join Paid Courses I recommend for learning (affiliate links, no extra cost for you): ⭐ Machine Learning Specialization https://bit.ly/3hjTBBt ⭐ Deep Learning Specialization https://bit.ly/3YcUkoI 📘 MLOps Specialization http://bit.ly/3wibaWy 📘 GAN Specialization https://bit.ly/3FmnZDl 📘 NLP Specialization http://bit.ly/3GXoQuP ✨ Free Resources that are great: NLP: https://web.stanford.edu/class/cs224n/ CV: http://cs231n.stanford.edu/ Deployment: https://fullstackdeeplearning.com/ FastAI: https://www.fast.ai/ 💻 My Deep Learning Setup and Recording Setup: https://www.amazon.com/shop/aladdinpersson GitHub Repository: https://github.com/aladdinpersson/Machine-Learning-Collection ✅ One-Time Donations: Paypal: https://bit.ly/3buoRYH ▶️ You Can Connect with me on: Twitter - https://twitter.com/aladdinpersson LinkedIn - https://www.linkedin.com/in/aladdin-persson-a95384153/ Github - https://github.com/aladdinpersson OUTLINE: 0:00 - Introduction 1:27 - Imports 2:05 - Data processing using Torchtext 5:55 - Implementation of Encoder 11:02 - Implementation of Decoder 19:43 - Putting it togethor to Seq2Seq 27:57 - Setting up training of the network 41:03 - Fixing Errors 42:18 - Evaluation of the model 49:32 - Ending and Bleu score result

In this tutorial we build a Sequence to Sequence (Seq2Seq) model from scratch and apply it to machine translation on a dataset with German to...

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