# Question Answering System

Cuckoo C4 Instruct
MIT
Super Rainbow Cuckoo is a small-scale information extraction model based on the Next Token Extraction (NTE) paradigm, achieving efficient information extraction by mimicking the prediction methods of large language models.
Question Answering System Transformers
C
KomeijiForce
17
1
Distilbert Qasports
Apache-2.0
A question-answering model fine-tuned on distilbert-base-uncased-distilled-squad, achieving an F1 score of 81.33 on the evaluation set
Question Answering System Transformers
D
laurafcamargos
18
1
Protrix
ProTrix is a model designed for table and sentence contextual planning and reasoning, focusing on joint reasoning tasks involving tabular and textual data.
Question Answering System Transformers
P
pkupie
14
0
Reastap Large Finetuned Wtq
ReasTAP is a pre-trained model for table reasoning, which injects table reasoning skills through synthetic reasoning examples and is fine-tuned on the WikiTableQuestions dataset
Question Answering System Transformers English
R
Yale-LILY
66
2
Xtremedistil L6 H384 Uncased Finetuned Squad
MIT
This model is a fine-tuned version of microsoft/xtremedistil-l6-h384-uncased on the SQuAD dataset, primarily used for question answering tasks.
Question Answering System Transformers
X
tachyon-11
20
0
Spanbert Qa
A question-answering model fine-tuned on SpanBERT/spanbert-base-cased, suitable for reading comprehension tasks
Question Answering System Transformers
S
vaibhav9
24
0
Distilbert Base Uncased Finetuned Squad
Apache-2.0
This model is a fine-tuned version of DistilBERT on the SQuAD question-answering dataset, designed for QA tasks.
Question Answering System Transformers
D
pfsv
15
1
Albert Base V2 Finetuned Squad Seed 9001
Apache-2.0
A question-answering model fine-tuned on the SQuAD 2.0 dataset based on the ALBERT base model
Question Answering System Transformers
A
zates
13
0
Distilbert Base Uncased Finetuned Squad
Apache-2.0
A question-answering model fine-tuned on the SQuAD dataset based on distilbert-base-uncased
Question Answering System Transformers
D
LeWince
15
0
Roberta Base Squad
MIT
A question-answering model fine-tuned based on the roberta-base model, trained on SQuAD format datasets
Question Answering System Transformers
R
DLL888
14
0
Distilbert Base Cased Finetuned Squadv2
Apache-2.0
This model is a question-answering model fine-tuned on the SQuAD v2 dataset based on DistilBERT, suitable for reading comprehension tasks.
Question Answering System Transformers
D
monakth
13
0
Albert Base V2 Finetuned Squad Seed 1024
Apache-2.0
A question-answering model fine-tuned on the SQuAD 2.0 dataset based on the ALBERT base model
Question Answering System Transformers
A
htermotto
13
0
Bart Base Few Shot K 512 Finetuned Squad Seed 4
Apache-2.0
Model fine-tuned on the squad dataset based on facebook/bart-base, suitable for question answering tasks
Question Answering System Transformers
B
anas-awadalla
13
0
Bart Base Few Shot K 64 Finetuned Squad Seed 2
Apache-2.0
A question-answering model fine-tuned on the SQuAD dataset based on facebook/bart-base
Question Answering System Transformers
B
anas-awadalla
13
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
Bert Base Uncased Finetuned Squad
Apache-2.0
This is a BERT model fine-tuned on the SQuAD dataset for question answering tasks.
Question Answering System Transformers
B
harveyagraphcore
15
0
Mobilebert Uncased Finetuned Squadv1
A fine-tuned version of the MobileBERT model on the SQuADv1 question answering dataset, optimized for QA tasks
Question Answering System Transformers English
M
RedHatAI
41
1
Distilbert Base Uncased Finetuned Squad
Apache-2.0
This model is a question-answering model fine-tuned on the SQuAD v2 dataset based on DistilBERT, suitable for reading comprehension tasks.
Question Answering System Transformers
D
shila
15
0
Distilbert Base Uncased Finetuned Squad
Apache-2.0
A question-answering model based on DistilBERT, fine-tuned on the SQuAD v2 dataset, suitable for QA tasks
Question Answering System Transformers
D
MMVos
15
0
Distilbert Base Uncased Finetuned Squad
Apache-2.0
A question-answering model fine-tuned on the squad_v2 dataset based on the distilbert-base-uncased model
Question Answering System Transformers
D
haddadalwi
17
0
Roberta Base Squad2 Finetuned Squad
This model is a fine-tuned version of deepset/roberta-base-squad2, suitable for question answering tasks.
Question Answering System Transformers
R
ms12345
14
0
Bert Base Uncased Finetuned Triviaqa
Apache-2.0
BERT base model fine-tuned on TriviaQA dataset for open-domain question answering tasks
Question Answering System Transformers English
B
mirbostani
17
0
Distilbert Base Uncased Finetuned Squad
Apache-2.0
A question-answering model based on DistilBERT, fine-tuned on the SQuAD dataset for extractive question answering tasks.
Question Answering System Transformers
D
lingchensanwen
16
0
Distilbert Base Uncased Finetuned Squad
Apache-2.0
This model is a fine-tuned version of the DistilBERT base model on the SQuAD question answering dataset, specifically designed for question answering tasks.
Question Answering System Transformers
D
ashhyun
16
0
Distilbert Base Uncased Finetuned Squad
Apache-2.0
This model is a fine-tuned version of the DistilBERT base model on the SQuAD question answering dataset, designed for question answering tasks.
Question Answering System Transformers
D
shahma
16
0
Envit5 Base
MIT
A Transformer-based pre-trained encoder-decoder model designed for Vietnamese and English, supporting summarization, translation, and question answering tasks.
Large Language Model Other
E
VietAI
47
1
Roberta Base Finetuned Squad
MIT
A question-answering model fine-tuned on the SQuAD 2.0 dataset based on RoBERTa-base, designed to answer questions based on given text
Question Answering System Transformers
R
janeel
16
0
Distilbert Base Uncased Finetuned Squad
Apache-2.0
This model is a fine-tuned version of distilbert-base-uncased on the SQuAD question answering dataset, suitable for QA tasks.
Question Answering System Transformers
D
sasuke
16
0
Deberta Base Combined Squad1 Aqa Newsqa And Newsqa
MIT
This model is a question-answering model based on the DeBERTa architecture, fine-tuned on the SQuAD1, AQA, and NewsQA datasets.
Question Answering System Transformers
D
stevemobs
15
0
Deberta Base Finetuned Aqa Squad1
MIT
This model is a fine-tuned version of DeBERTa-base on the SQuAD question answering dataset, designed for automatic question answering tasks
Question Answering System Transformers
D
stevemobs
14
0
Bert Finetuned Squad
Apache-2.0
A BERT-based question answering model fine-tuned on the SQuAD dataset
Question Answering System Transformers
B
spasis
16
0
Albert Xxl V2 Finetuned Squad
Apache-2.0
A question answering model fine-tuned on the SQuAD dataset based on ALBERT-xxlarge-v2
Question Answering System Transformers
A
anas-awadalla
15
1
Roberta Base Finetuned Squad 2
MIT
A question-answering model fine-tuned on the SQuAD dataset based on RoBERTa-base
Question Answering System Transformers
R
huxxx657
15
0
Bert Base Uncased Finetuned Squad V2
Apache-2.0
This model is a question-answering model fine-tuned on the SQuAD dataset based on bert-base-uncased
Question Answering System Transformers
B
HomayounSadri
621
0
Long T5 Tglobal Base
Apache-2.0
LongT5 is a text-to-text transformation model based on the T5 architecture, employing transient global attention mechanism for efficient processing of long sequence inputs
Large Language Model English
L
google
71.38k
42
Distilbert Base Uncased Finetuned Squad
Apache-2.0
A question-answering model fine-tuned on the SQuAD dataset based on the DistilBERT base model
Question Answering System Transformers
D
cosmo
15
0
Distilbert Base Uncased Finetuned Squad
Apache-2.0
This model is a question-answering model fine-tuned on the SQuAD dataset based on DistilBERT, suitable for reading comprehension tasks.
Question Answering System Transformers
D
laampt
16
0
Canine C Squad
CANINE-C is a character-based pre-trained Transformer model developed by Google, specifically designed for question answering tasks involving long text sequences.
Question Answering System Transformers
C
Splend1dchan
68
0
Albert Base V2 Squad2
This model is a question-answering model based on the ALBERT architecture, fine-tuned on the SQuAD 2.0 dataset for reading comprehension tasks.
Question Answering System Transformers
A
vumichien
47
0
Distilbert Base Uncased Finetuned Squad
Apache-2.0
This model is a fine-tuned version of DistilBERT on the SQuAD question answering dataset, designed for QA tasks.
Question Answering System Transformers
D
aaraki
16
0
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