shahrukhx01 / multitask-learning-transformers
A simple recipe for training and inferencing Transformer architecture for Multi-Task Learning on custom datasets. You can find two approaches for achieving this in this repo.
☆94Updated 2 years ago
Alternatives and similar repositories for multitask-learning-transformers:
Users that are interested in multitask-learning-transformers are comparing it to the libraries listed below
- pyTorch implementation of Recurrence over BERT (RoBERT) based on this paper https://arxiv.org/abs/1910.10781 and comparison with pyTorch …☆80Updated 2 years ago
- Long Document Summarization Papers☆141Updated last year
- Models for automatically transforming toxic text to neutral☆34Updated last year
- ☆41Updated 3 years ago
- A repo to explore different NLP tasks which can be solved using T5☆172Updated 4 years ago
- [NAACL 2021] This is the code for our paper `Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self…☆201Updated 2 years ago
- ☆21Updated 8 months ago
- Research code for "What to Pre-Train on? Efficient Intermediate Task Selection", EMNLP 2021☆34Updated 3 years ago
- Code and Data for the ACL 2022 paper "Rethinking Self-Supervision Objectives for Generalizable Coherence Modeling"☆11Updated 2 years ago
- Source code for paper "Learning from Noisy Labels for Entity-Centric Information Extraction", EMNLP 2021☆55Updated 3 years ago
- Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from hu…☆43Updated 3 years ago
- ☆44Updated 2 years ago
- PyTorch – SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models.☆61Updated 2 years ago
- Code associated with the "Data Augmentation using Pre-trained Transformer Models" paper☆52Updated last year
- Define Transformers, T5 model and RoBERTa Encoder decoder model for product names generation☆48Updated 3 years ago
- ☆57Updated 2 years ago
- ☆33Updated last year
- https://arxiv.org/pdf/1909.04054☆78Updated 2 years ago
- A Framework for Textual Entailment based Zero Shot text classification☆152Updated 11 months ago
- Few-Shot-Intent-Detection includes popular challenging intent detection datasets with/without OOS queries and state-of-the-art baselines …☆136Updated last year
- ☆77Updated 9 months ago
- Code accompanying EMNLP 2020 paper "Cold-start Active Learning through Self-supervised Language Modeling".☆40Updated 3 years ago
- A Natural Language Inference (NLI) model based on Transformers (BERT and ALBERT)☆133Updated last year
- ☆93Updated 2 years ago
- Some notebooks for NLP☆194Updated last year
- On Explaining Your Explanations of BERT: An Empirical Study with Sequence Classification☆30Updated 2 years ago
- Official PyTorch Implementation of SSMix (Findings of ACL 2021)☆62Updated 3 years ago
- A simple project training 3 separate NLP tasks simultaneously using Multitask-Learning☆23Updated last year
- Benchmarking various Deep Learning models such as BERT, ALBERT, BiLSTMs on the task of sentence entailment using two datasets - MultiNLI …☆28Updated 4 years ago
- The PyTorch implementation the Smooth Grad [https://arxiv.org/pdf/1706.03825.pdf] and Integrated Gradients [https://arxiv.org/pdf/1703.01…☆46Updated 4 years ago