Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
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Bert_language_understanding | 886 | 5 years ago | 9 | Python | ||||||
Pre-training of Deep Bidirectional Transformers for Language Understanding: pre-train TextCNN | ||||||||||
Lm Bff | 550 | 2 years ago | 1 | mit | Python | |||||
ACL'2021: LM-BFF: Better Few-shot Fine-tuning of Language Models https://arxiv.org/abs/2012.15723 | ||||||||||
Azureml Bert | 384 | a year ago | 22 | mit | Jupyter Notebook | |||||
End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service | ||||||||||
Adaptnlp | 371 | 3 years ago | 23 | April 17, 2020 | 7 | apache-2.0 | Jupyter Notebook | |||
An easy to use Natural Language Processing library and framework for predicting, training, fine-tuning, and serving up state-of-the-art NLP models. | ||||||||||
Kogpt2 Finetuning | 212 | a year ago | 2 | apache-2.0 | Python | |||||
🔥 Korean GPT-2, KoGPT2 FineTuning cased. 한국어 가사 데이터 학습 🔥 | ||||||||||
Keras Xlnet | 165 | 1 | 2 | 2 years ago | 23 | January 22, 2022 | mit | Python | ||
Implementation of XLNet that can load pretrained checkpoints | ||||||||||
Cosine | 155 | 2 years ago | 3 | mit | Python | |||||
This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach' (In Proc. of NAACL-HLT 2021). | ||||||||||
Lm_finetuning | 41 | 5 years ago | Python | |||||||
Language Model Fine-tuning for Moby Dick | ||||||||||
Style Gen | 14 | 6 years ago | Python | |||||||
Writing With Bert | 10 | 4 years ago | apache-2.0 | Jupyter Notebook | ||||||
Using BERT for doing the task of Conditional Natural Language Generation by fine-tuning pre-trained BERT on custom dataset. |