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Search results for pytorch xlnet
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20 search results found
Albert_zh
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3,723
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
Texar
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2,008
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow
Chinese Xlnet
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1,633
Pre-Trained Chinese XLNet(中文XLNet预训练模型)
Awesome Bert
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1,630
bert nlp papers, applications and github resources, including the newst xlnet , BERT、XLNet 相关论文和 github 项目
Spacy Transformers
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1,302
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
Transformers4rec
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974
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
Bert Multi Label Text Classification
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761
This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.
Texar Pytorch
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711
Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation. This is part of the CASL project: http://casl-project.ai/
Xlnet Pytorch
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475
Simple XLNet implementation with Pytorch Wrapper
Adaptnlp
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371
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models.
Text Summarization
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76
Abstractive and Extractive Text summarization using Transformers.
Clue_pytorch
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61
CLUE baseline pytorch CLUE的pytorch版本基线
Oreilly Hands On Transformers
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37
Hands on NLP and Computer Vision with Transformers
Semantic Document Relations
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18
Implementation, trained models and result data for the paper "Pairwise Multi-Class Document Classification for Semantic Relations between Wikipedia Articles"
Distilkobilstm
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17
Distilling Task-Specific Knowledge from Teacher Model into BiLSTM
Bert Text Classification
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16
This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation
Transformer Xl
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16
A lightweight PyTorch implementation of the Transformer-XL architecture proposed by Dai et al. (2019)
Security Intelligence On Exchanged Multimedia Messages Based On Deep Learning
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6
Deep learning (DL) approaches use various processing layers to learn hierarchical representations of data. Recently, many methods and designs of natural language processing (NLP) models have shown significant development, especially in text mining and analysis. For learning vector-space representations of text, there are famous models like Word2vec, GloVe, and fastText. In fact, NLP took a big step forward when BERT and recently GTP-3 came out. Deep Learning algorithms are unable to deal with te
Amazon Fine Food Reviews
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6
Determine the polarity of amazon fine food reviews using ULMFiT, BERT, XLNet and RoBERTa
Sst 2 Sentiment Analysis
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5
Use BiLSTM_attention, BERT, ALBERT, RoBERTa, XLNet model to classify the SST-2 data set based on pytorch
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