Question-Answering-SQUAD and Question-Answering-model

These are direct competitors—both are fine-tuned BERT-family models trained on the SQuAD dataset for extractive question answering, with nearly identical architectures and use cases, so users would select one based on model size (DistilBERT vs. full BERT) and performance differences rather than using them together.

Maintenance 0/25
Adoption 6/25
Maturity 9/25
Community 17/25
Maintenance 0/25
Adoption 1/25
Maturity 9/25
Community 13/25
Stars: 19
Forks: 8
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stars: 1
Forks: 2
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License: MIT
Stale 6m No Package No Dependents
Stale 6m No Package No Dependents

About Question-Answering-SQUAD

nlpunibo/Question-Answering-SQUAD

Question Answering model based on DistilBERT, trained and evaluated on the SQUAD dataset

About Question-Answering-model

PraveenKumarSridhar/Question-Answering-model

SQuAD - Question Answering model

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