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Lightweight Q&A

# Lightweight Q&A

Mobilebert Uncased Squad V1
MIT
MobileBERT is a lightweight version of BERT_LARGE, featuring a bottleneck structure design that balances self-attention mechanisms and feed-forward networks. This model is fine-tuned on the SQuAD1.1 dataset and is suitable for question-answering tasks.
Question Answering System Transformers English
M
csarron
160
0
Bert Tiny Finetuned Squadv2
A compact Q&A model fine-tuned on the SQuAD2.0 dataset based on Google's BERT-Tiny architecture, with a size of only 16.74MB
Question Answering System English
B
mrm8488
6,327
1
Bert Mini Finetuned Squadv2
BERT-Mini is a small BERT model developed by Google Research, fine-tuned on the SQuAD 2.0 dataset for question-answering tasks, suitable for environments with limited computational resources.
Question Answering System English
B
mrm8488
50
0
Mobilebert Uncased Squad V2
MIT
MobileBERT is a lightweight version of BERT_LARGE, fine-tuned on the SQuAD2.0 dataset for question answering systems.
Question Answering System Transformers English
M
csarron
29.11k
7
Mobilebert Uncased Finetuned Squadv1
A lightweight question-answering model based on MobileBERT, fine-tuned on the SQuAD v1.1 dataset, suitable for English Q&A tasks.
Question Answering System Transformers English
M
mrm8488
27
1
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