Скачать или смотреть End-to-end QNLI with Hugging Face

Explore an end-to-end walkthrough of Question Natural Language Inference (QNLI) using Hugging Face! In this video, you’ll learn how to:

1. Load and explore the QNLI dataset
2. Tokenize text with BERT and DistilBERT
3. Build a PyTorch Dataset for sentence-pair classification
4. Fine-tune your model with both a custom training loop and the Hugging Face Trainer API
5. Evaluate performance using accuracy and metrics

Whether you’re an NLP practitioner or just curious about transformer models, this demo will get you up and running in minutes.

🔗 Resources & Links

QNLI on GLUE: https://gluebenchmark.com/tasks/#QNLI
Original SQuAD dataset: https://rajpurkar.github.io/SQuAD-explorer/
Code & notebook on GitHub: https://github.com/qiblatainf/QNLI-Questio...
QNLI on Hugging Face Datasets: https://huggingface.co/datasets/nyu-mll/gl...

License:
This dataset is licensed under CC BY-SA 4.0.