ThilinaRajapakse / pytorch-transformers-classificationLinks
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, RoBERTa, and XLM models for text classification.
☆309Updated 5 years ago
Alternatives and similar repositories for pytorch-transformers-classification
Users that are interested in pytorch-transformers-classification are comparing it to the libraries listed below
Sorting:
- Multilabel classification for Toxic comments challenge using Bert☆311Updated 6 years ago
- Accompanying code for the Medium article☆164Updated 5 years ago
- Implementation of State-of-the-art Text Classification Models in Pytorch☆489Updated 6 years ago
- PyTorch deep learning models for document classification☆595Updated 2 years ago
- architectures and pre-trained models for long document classification.☆155Updated 4 years ago
- Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling☆365Updated 5 years ago
- SQuAD Question Answering Using BERT, PyTorch☆400Updated 2 years ago
- Abstractive summarisation using Bert as encoder and Transformer Decoder☆413Updated 2 years ago
- A simple technique to integrate BERT from tf hub to keras☆258Updated 2 years ago
- Enhancing the BERT training with Semi-supervised Generative Adversarial Networks☆228Updated 2 years ago
- A repository containing tutorials for practical NLP using PyTorch☆538Updated 6 years ago
- Multi Label text classification using bert☆155Updated 6 years ago
- Deep Keyphrase Extraction using BERT☆261Updated 3 years ago
- a sklearn wrapper for Google's BERT model☆302Updated 2 years ago
- Builds wordpiece(subword) vocabulary compatible for Google Research's BERT☆230Updated 4 years ago
- Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in …☆125Updated 5 years ago
- Example code for "Real-World Natural Language Processing"☆339Updated 4 years ago
- Do NLP tasks with some SOTA methods☆92Updated 4 years ago
- Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"☆179Updated 6 years ago
- Code for ACL 2020 paper: "Extractive Summarization as Text Matching"☆523Updated 3 years ago
- ☆37Updated 5 years ago
- How to use ELMo embeddings in Keras with Tensorflow Hub☆260Updated 6 years ago
- Enriching BERT with Knowledge Graph Embedding for Document Classification (PyTorch)☆160Updated 5 years ago
- A set of tutorials for torchtext☆185Updated 6 years ago
- Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification☆248Updated 5 years ago
- Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA☆721Updated 5 years ago
- Contextual augmentation, a text data augmentation using a bidirectional language model.☆191Updated 5 years ago
- Neat (Neural Attention) Vision, is a visualization tool for the attention mechanisms of deep-learning models for Natural Language Process…☆251Updated 7 years ago
- BERT for question answering starting with HotpotQA☆168Updated 6 years ago
- Pytorch implementation of "A Deep Reinforced Model for Abstractive Summarization" paper and pointer generator network☆322Updated 5 years ago