Web27 Jun 2024 · sileod/deberta-v3-base-tasksource-nli • Updated 9 days ago • 5.52k • 30 microsoft/deberta-v2-xxlarge • Updated Sep 22, 2024 • 5.42k • 14 ku-nlp/deberta-v2-tiny … Webbase. Under the cross-lingual transfer setting, mDeBERTaV3 base achieves a 79.8% average accuracy score on the XNLI (Conneau et al., 2024) task, which outperforms XLM-R base and mT5 base (Xue et al., 2024) by 3.6% and 4.4%, respectively. This makes mDeBERTaV3 the best model among multi-lingual models with a similar model structure.
deberta_v3_base Kaggle
WebThe v3 variant of DeBERTa substantially outperforms previous versions of the model by including a different pre-training objective, see annex 11 of the original DeBERTa paper. … Web1 day ago · 1. 登录huggingface. 虽然不用,但是登录一下(如果在后面训练部分,将push_to_hub入参置为True的话,可以直接将模型上传到Hub). from huggingface_hub import notebook_login notebook_login (). 输出: Login successful Your token has been saved to my_path/.huggingface/token Authenticated through git-credential store but this … dutch sprinkles on bread
microsoft/mdeberta-v3-base · Hugging Face
Web9 Apr 2024 · mdeberta_v3_base_sequence_classifier_allocine is a fine-tuned DeBERTa model that is ready to be used for Sequence Classification tasks such as sentiment analysis or multi-class text classification and it achieves state-of-the-art performance. Web3 Mar 2024 · Cannot initialize deberta-v3-base tokenizer. tokenizer = AutoTokenizer.from_pretrained ("microsoft/deberta-v3-base") I get a ValueError: This … cryssa bazos author