Torchtext 0.4 with Supervised Learning Datasets: A Quick Introduction
summary
Torchtext 0.4 ships supervised datasets with one-command data loading, ready-made splits and an N‑gram option so text classification experiments run from a couple lines of code; included examples list AG news and other popular corpora and a full tutorial for analysis and vocabulary generation. The release also adds a tokenizer feature and points to a standard Transformer in PyTorch 1.2 with modular encoder/decoder/multihead components and runnable GitHub examples.
AI-written summary · about
chapters (6)
related talks
08mTorchText
01h 32mIntroduction to PyTorch
01h 40mA Deep Dive into NLP with PyTorch
01h 32mNeural Networks for Natural Language Processing
05mWhat's New in the Torch Ecosystem
06mTorchAudio
11mUnlock the Future of Generative AI: TorchTitan's Latest...
32mAn Introduction to Transfer Learning in NLP and HuggingFace