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Search results for pytorch roberta
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40 search results found
Chinese Bert Wwm
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8,600
Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)
Lora
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7,814
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Bertviz
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5,547
BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)
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
Clue
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3,345
中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
Uer Py
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2,802
Open Source Pre-training Model Framework in PyTorch & Pre-trained Model Zoo
Farm
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1,706
🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.
Turbotransformers
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1,322
a fast and user-friendly runtime for transformer inference (Bert, Albert, GPT2, Decoders, etc) on CPU and GPU.
Tencentpretrain
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951
Tencent Pre-training framework in PyTorch & Pre-trained Model Zoo
Bert_seq2seq
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890
pytorch实现 Bert 做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注
Curated Transformers
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790
🤖 A PyTorch library of curated Transformer models and their composable components
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/
Mint
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192
MinT: Minimal Transformer Library and Tutorials
Data2vec Pytorch
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126
PyTorch implementation of "data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language" from Meta AI
Getting Started With Google Bert
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126
Build and train state-of-the-art natural language processing models using BERT
Minirbt
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102
MiniRBT (中文小型预训练模型系列)
Adamix
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94
This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.12410).
Wordseg
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91
A PyTorch implementation of a BiLSTM \ BERT \ Roberta (+ BiLSTM + CRF) model for Chinese Word Segmentation (中文分词) .
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
Erc
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40
Emotion recognition in conversation
Model Zoo
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29
NLP model zoo for Russian
Les Military Mrc Rank7
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26
莱斯杯:全国第二届“军事智能机器阅读”挑战赛 - Rank7 解决方案
Bert_for_longer_texts
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25
BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.
Ruberta
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17
Russian RoBERTa
Distilkobilstm
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17
Distilling Task-Specific Knowledge from Teacher Model into BiLSTM
Long Texts Sentiment Analysis Roberta
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16
PyTorch implementation of Sentiment Analysis of the long texts written in Serbian language (which is underused language) using pretrained Multilingual RoBERTa based model (XLM-R) on the small dataset.
Tianchi2020chinesemedicinequestiongeneration
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16
2020 阿里云天池大数据竞赛-中医药文献问题生成挑战赛
Bert_seq2seq_ddp
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16
bert_seq2seq的DDP版本,支持bert、roberta、nezha、t5、gpt2等模型
Klue Rbert
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14
↔️ Utilizing RBERT model structure for KLUE Relation Extraction task
Structured_tuning_srl
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12
Implementation of our ACL 2020 paper: Structured Tuning for Semantic Role Labeling
Vietnamese Roberta
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12
A Robustly Optimized BERT Pretraining Approach for Vietnamese
Pytorch Roberta
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9
Transformers_examples
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8
reference pytorch code for huggingface transformers
Drophead Pytorch
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7
An implementation of drophead regularization for pytorch transformers
Transformers_onnx
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7
Ramen
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7
A software for transferring pre-trained English models to foreign languages
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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