https://github.com/yangyucheng000/University/tree/main/model-1/rembert
Rethinking embedding coupling in pre-trained language models
Papers with Code 아카이브
Cross-Lingual Natural Language Inference
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
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Using data and models available for one language for which ample such resources are available (e.g., English) to solve a natural language inference task in another, commonly more low-resource, language.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yangyucheng000/University/tree/main/model-3/rembert
Rethinking embedding coupling in pre-trained language models
https://github.com/yangyucheng000/ascend_albert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yangyucheng000/bert_Ascend
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yangyucheng000/bert_GPU
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yannvgn/laserembeddings
Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond
https://github.com/yanzhitech/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yifding/hetseq
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yiyc-kor/bert-study
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ymcui/LAMB_Optimizer_TF
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yoreG123/Paddle-ByT5
ByT5: Towards a token-free future with pre-trained byte-to-byte models
https://github.com/yoshitomo-matsubara/torchdistill
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/ypeleg/MinimalIsAllYouNeed
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yuelinan/c3vg
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yuhangT/tf_bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/yydai/bert_test
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/zaaztt/bert_chinese_example
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/zapplea/bert
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/zaradana/Fast_BERT
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/zer0sh0t/artificial_intelligence/tree/master/language_models/bidirectional_encoder_representations_from_transformers
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/zhang-huihui/git-repository
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/zhengcj1/ChID-Dataset
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
https://github.com/zsweet/BERT_zsw
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.