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can you help me ?
D:\xlnet-Pytorch-master>python main.py
Model name 'bert-large-uncased' was not found in model name list (bert-base-uncased, bert-large-uncased, bert-base-cased, bert-large-cased, b…
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# XLNet: Generalized Autoregressive Pretraining for Language Understanding | Deep Learner
XLNet: Generalized Autoregressive Pretraining for Language Understanding Zhilin Yang, Zihang Dai, Yiming Yang…
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XLNet, which just came out, beats BERT by an incredible margin on a number of nontrivial tasks: https://arxiv.org/abs/1906.08237
Once our basic infrastructure for the shared task is up and running,…
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Hello, thank you very much for sharing your codes and idea.
①I encountered some problems when I was only running XLNet (Python train. Py) for NER, as follows, can you tell me why ?
Traceback …
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模型提供的测试报告：
V100 单机单卡自测值：
paddle 版本：develop
速度：0.961218 steps/s
tf 1.15
速度: 1.61 s…
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Firstly I would like to say that reading your paper was fascinating.
Secondly I would like to thank you for advancing the state of the art on both constituency parsing and dependency parsing. (first …
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Some code is missing from the winner’s submission;
https://github.com/rapidsai/deeplearning/tree/main/WSDM2021/02_Models/XLNet_SMF
Good stuff overall! Congrats!
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Research and evaluate different LLM models (e.g., BERT, RoBERTa, XLNet) for their suitability in the bioinformatics domain.
-> Research and document the strengths and weaknesses of each model. Crea…
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In many nlp tasks, XLNET results are better than BERT, I would like to ask if there are plans to support XLNET in the future
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Hi,
Currently the reader is operating using a pre trained BERT pytorch model. I am wondering whether you plan on adding support for an XLNet pretrained model once it is released for pytorch?