#自然语言处理#🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
#自然语言处理#Simple XLNet implementation with Pytorch Wrapper
An implementation of Google Brain's 2019 XLNet in PyTorch
翻译 - 在PyTorch中实现Google Brain的2019 XLNet
This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation
疫情期间网民情绪识别代码，包含lstm，bert，xlnet，robert，最高f1为0.725 部署在Google colab
Determine the polarity of amazon fine food reviews using ULMFiT, BERT, XLNet and RoBERTa
PyTorch implementation of Deep-Learning Architectures
#自然语言处理#BERT (Bidirectional Encoder Representations from Transformers) is a transformer-based method of learning language representations. It is a bidirectional transformer pre-trained model developed using a...
#自然语言处理#This GitHub repository presents our solution to Touché 2023 Task 4: Human Value Detection, a multilabel text classification task. We fine-tuned transformer architectures like BERT, RoBERTa, and XLNet ...
#计算机科学#This is a document's contextual similarity evaluation tool. It captures the contextual meaning of a document and compares it with other document's contextual meaning stored in its dataset.
Identifying complaints on social media using transformer-XL based XLNet model