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gptkbp:instanceOf
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gptkb:model
large language model
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|
gptkbp:architecture
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gptkb:transformation
|
|
gptkbp:attentionHeads
|
12
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gptkbp:availableOn
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gptkb:Hugging_Face
gptkb:TensorFlow_Hub
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gptkbp:basedOn
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gptkb:BERT
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gptkbp:category
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gptkb:model
gptkb:NLP
deep learning
multilingual model
pretrained model
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gptkbp:citation
|
gptkb:Devlin_et_al.,_2018
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gptkbp:developedBy
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gptkb:Google
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gptkbp:embeddingSize
|
768
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gptkbp:hasVariant
|
cased
uncased
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|
https://www.w3.org/2000/01/rdf-schema#label
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Multilingual BERT
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gptkbp:input
|
gptkb:text
|
|
gptkbp:inputLengthLimit
|
512 tokens
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gptkbp:layer
|
12
|
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gptkbp:license
|
Apache 2.0
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|
gptkbp:notTrainedOn
|
parallel corpora
|
|
gptkbp:openSource
|
true
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gptkbp:output
|
contextual embeddings
|
|
gptkbp:parameter
|
110 million
340 million
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|
gptkbp:predecessor
|
gptkb:BERT
|
|
gptkbp:releaseYear
|
2018
|
|
gptkbp:successor
|
gptkb:mBERT_(large)
gptkb:XLM-R
|
|
gptkbp:supportsLanguage
|
104 languages
|
|
gptkbp:tokenizerType
|
gptkb:WordPiece
|
|
gptkbp:trainer
|
gptkb:Wikipedia
masked language modeling
next sentence prediction
Wikipedia (104 languages)
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|
gptkbp:usedFor
|
natural language processing
question answering
text classification
named entity recognition
|
|
gptkbp:usedIn
|
zero-shot learning
cross-lingual transfer learning
|
|
gptkbp:website
|
https://github.com/google-research/bert
|
|
gptkbp:bfsParent
|
gptkb:BERT
|
|
gptkbp:bfsLayer
|
6
|