Fix: Replace legacy TextCNN with modern DistilBERT example#3533
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vfdev-5 merged 6 commits intopytorch:masterfrom Feb 16, 2026
Merged
Fix: Replace legacy TextCNN with modern DistilBERT example#3533vfdev-5 merged 6 commits intopytorch:masterfrom
vfdev-5 merged 6 commits intopytorch:masterfrom
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Thanks for the PR @TahaZahid05 !
Looks good, I left few minor comments on how to improve it a bit.
Co-authored-by: vfdev <[email protected]>
Co-authored-by: vfdev <[email protected]>
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Thanks @TahaZahid05, LGTM !
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Fixes #3521
Description: This PR replaces the broken
TextCNN.ipynbnotebook with a modern text classification example,TextTransformers.ipynb.The original notebook relied on
torchtext 0.9.1, which caused binary mismatches andOSErrorcrashes in modern environments (Torch >= 1.10). This new implementation adopts a modern model while showcasing Ignite's integration with the Hugging Face ecosystem.Changes
Deleted:
examples/notebooks/TextCNN.ipynb(Legacy dependency on torchtext==0.9.1).Added:
examples/notebooks/TextTransformers.ipynb.Model: Uses
DistilBERTfromtransformers.Data: Replaces legacy loaders with
datasets(HF) to load the IMDB dataset.Workflow: Demonstrates Ignite's Trainer and Evaluator logic for fine-tuning a transformer model.
Check list: