nlpyang / pytorch-transformersLinks
👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
☆23Updated 5 years ago
Alternatives and similar repositories for pytorch-transformers
Users that are interested in pytorch-transformers are comparing it to the libraries listed below
Sorting:
- [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…☆203Updated 2 years ago
- Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper☆134Updated last year
- Enhancing the BERT training with Semi-supervised Generative Adversarial Networks☆229Updated 2 years ago
- BOND: BERT-Assisted Open-Domain Name Entity Recognition with Distant Supervision☆290Updated 4 years ago
- Research framework for low resource text classification that allows the user to experiment with classification models and active learning…☆102Updated 3 years ago
- [EMNLP 2021] Text AutoAugment: Learning Compositional Augmentation Policy for Text Classification☆128Updated 2 years ago
- Implementation of Self-adjusting Dice Loss from "Dice Loss for Data-imbalanced NLP Tasks" paper☆108Updated 4 years ago
- For the code release of our arXiv paper "Revisiting Few-sample BERT Fine-tuning" (https://arxiv.org/abs/2006.05987).☆184Updated last year
- CrossNER: Evaluating Cross-Domain Named Entity Recognition (AAAI-2021)☆130Updated 4 years ago
- Code associated with the Don't Stop Pretraining ACL 2020 paper☆531Updated 3 years ago
- ☆78Updated 2 years ago
- A curated list of few-shot learning in NLP. :-)☆64Updated 3 years ago
- Code for the paper "True Few-Shot Learning in Language Models" (https://arxiv.org/abs/2105.11447)☆144Updated 3 years ago
- Uncertainty-aware Self-training☆121Updated last year
- Meta-learning for NLP☆50Updated 4 years ago
- [NAACL 2021] Factual Probing Is [MASK]: Learning vs. Learning to Recall https://arxiv.org/abs/2104.05240☆168Updated 2 years ago
- Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data☆100Updated last year
- Code for ACL 2022 paper "CONTaiNER: Few-Shot Named Entity Recognition via Contrastive Learning"☆117Updated 2 years ago
- pyTorch implementation of Recurrence over BERT (RoBERT) based on this paper https://arxiv.org/abs/1910.10781 and comparison with pyTorch …☆82Updated 2 years ago
- Code for our paper "SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization", ACL 2021☆187Updated 3 years ago
- ☆92Updated 3 years ago
- Code from the paper "What do Models Learn from Question Answering Datasets?" (EMNLP 2020)☆55Updated 4 years ago
- ☆33Updated 2 years ago
- ☆117Updated 3 years ago
- Models for automatically transforming toxic text to neutral☆34Updated last year
- Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward☆76Updated 4 years ago
- A library to conduct ranking experiments with transformers.☆160Updated last year
- [NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining☆117Updated last year
- A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)☆132Updated last year
- This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation☆71Updated 5 years ago