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.
☆312Updated 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
- Empower Sequence Labeling with Task-Aware Neural Language Model | a PyTorch Tutorial to Sequence Labeling☆364Updated 5 years ago
- PyTorch deep learning models for document classification☆596Updated 2 years ago
- Accompanying code for the Medium article☆164Updated 6 years ago
- Implementation of State-of-the-art Text Classification Models in Pytorch☆489Updated 6 years ago
- Abstractive summarisation using Bert as encoder and Transformer Decoder☆413Updated 2 years ago
- SQuAD Question Answering Using BERT, PyTorch☆400Updated 2 years ago
- A simple technique to integrate BERT from tf hub to keras☆258Updated 2 years ago
- architectures and pre-trained models for long document classification.☆155Updated 4 years ago
- Builds wordpiece(subword) vocabulary compatible for Google Research's BERT☆231Updated 4 years ago
- Deep Keyphrase Extraction using BERT☆260Updated 3 years ago
- a sklearn wrapper for Google's BERT model☆301Updated 3 years ago
- Multi Label text classification using bert☆156Updated 6 years ago
- Example code for "Real-World Natural Language Processing"☆339Updated 4 years ago
- A repository containing tutorials for practical NLP using PyTorch☆537Updated 6 years ago
- Comparatively fine-tuning pretrained BERT models on downstream, text classification tasks with different architectural configurations in …☆125Updated 5 years ago
- Hierarchical Attention Networks | a PyTorch Tutorial to Text Classification☆249Updated 5 years ago
- Enhancing the BERT training with Semi-supervised Generative Adversarial Networks☆228Updated 2 years ago
- Keras implementation of "Few-shot Learning for Named Entity Recognition in Medical Text"☆180Updated 6 years ago
- Do NLP tasks with some SOTA methods☆92Updated 4 years ago
- Repository of code for the tutorial on Transfer Learning in NLP held at NAACL 2019 in Minneapolis, MN, USA☆721Updated 6 years ago
- Code for acl2017 paper "An unsupervised neural attention model for aspect extraction"☆339Updated last year
- BiLSTM-CNN-CRF tagger☆250Updated 6 years ago
- This repository contains various ways to calculate sentence vector similarity using NLP models☆197Updated 5 years ago
- ⚛️ It is keras based implementation of siamese architecture using lstm encoders to compute text similarity☆288Updated 2 years ago
- How to use ELMo embeddings in Keras with Tensorflow Hub☆260Updated 6 years ago
- A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.☆180Updated 4 years ago
- This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation☆71Updated 5 years ago
- One-Stop Solution to encode sentence to fixed length vectors from various embedding techniques☆210Updated 2 years ago
- an easy-to-use interface to fine-tuned BERT models for computing semantic similarity in clinical and web text. that's it.☆219Updated 4 years ago