# High-precision Reading Comprehension

Bert Finetuned Squad Legalbert
This model is a fine-tuned version of Legal-BERT on the SQuAD dataset, specializing in legal domain question-answering tasks.
Question Answering System Transformers
B
Jasu
16
0
Deberta V3 Xsmall Squad2
Apache-2.0
A question answering system model based on the DeBERTa-v3-xsmall architecture, specifically fine-tuned for the SQuAD2.0 dataset
Question Answering System Transformers
D
nlpconnect
21
0
Deberta Base Finetuned Aqa
MIT
A QA model fine-tuned on the adversarial_qa dataset based on microsoft/deberta-base
Question Answering System Transformers
D
stevemobs
15
0
Albert Xlarge Finetuned
The xlarge version v2 model based on ALBERT architecture, fine-tuned on the SQuAD V2 dataset for Q&A tasks
Question Answering System Transformers
A
123tarunanand
16
0
Bert Base Uncased Finetuned Newsqa
Apache-2.0
This model is a question-answering system based on the BERT Base Uncased architecture, fine-tuned on the NewsQA dataset.
Question Answering System Transformers English
B
mirbostani
14
2
Electra Base Squad2
This is an English extractive question answering model based on the ELECTRA-base architecture, trained on the SQuAD 2.0 dataset, suitable for question answering tasks.
Question Answering System
E
bhadresh-savani
102
0
Albert Xlarge V2 Squad V2
A question answering system based on the ALBERT-xlarge-v2 model fine-tuned on the SQuAD V2 dataset
Question Answering System Transformers
A
ktrapeznikov
104
2
Xlnet Base Squadv2
XLNet is a pre-trained language model jointly developed by Google and Carnegie Mellon University, fine-tuned on the SQuAD 2.0 question answering dataset
Question Answering System Transformers
X
ggoggam
21
2
Biobert V1.1 Pubmed Squad V2
A question-answering model fine-tuned on the SQuAD V2 dataset based on BioBERT v1.1 Pubmed, specifically designed for biomedical QA tasks
Question Answering System
B
ktrapeznikov
2,127
3
Roberta Base Squad V1
MIT
This model is based on the RoBERTa architecture and fine-tuned on the SQuAD1.1 dataset, capable of extracting answers to questions from given contexts.
Question Answering System English
R
csarron
95
0
Bert Large Cased Squad V1.1 Portuguese
MIT
A Portuguese question-answering model trained on BERTimbau Large and fine-tuned on the Portuguese version of SQuAD v1.1, suitable for Portuguese QA tasks.
Question Answering System Transformers Other
B
pierreguillou
1,199
45
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
Electra Large Synqa
Apache-2.0
A two-stage training QA model based on ELECTRA-Large architecture, first trained on synthetic adversarial data and then fine-tuned on SQuAD and AdversarialQA datasets
Question Answering System Transformers English
E
mbartolo
24
3
Bert Large Finetuned Squad2
A question-answering model based on the bert-large-uncased architecture and fine-tuned on the SQuAD2.0 dataset
Question Answering System English
B
phiyodr
9,892
0
Bert Base Spanish Wwm Cased Finetuned Spa Squad2 Es
BETO is a BERT model trained on a large Spanish corpus, this version is fine-tuned for Spanish question answering tasks
Question Answering System Spanish
B
mrm8488
1,648
12
Mrc2reader
A Korean Q&A system fine-tuned based on the xlm-roberta-large-squad2 model, demonstrating excellent performance in KorQuAD evaluations.
Question Answering System Transformers
M
Dongjae
22
0
Microsoft Deberta Large Squad
This model is a fine-tuned version of microsoft_deberta-large on the SQuAD V1 dataset, primarily used for question answering tasks.
Question Answering System Transformers
M
Palak
112
0
Xlm Roberta Large Qa Multilingual Finedtuned Ru
Apache-2.0
This is a pretrained model based on the XLM-RoBERTa architecture, trained with masked language modeling objectives and fine-tuned on English and Russian question answering datasets.
Question Answering System Transformers Supports Multiple Languages
X
AlexKay
1,814
48
Roberta Base Best Squad2
RoBERTa-based English extractive question answering model, trained on the SQuAD 2.0 dataset, capable of handling both answerable and unanswerable questions
Question Answering System Transformers
R
PremalMatalia
30
1
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