microsoft / fastseq
An efficient implementation of the popular sequence models for text generation, summarization, and translation tasks. https://arxiv.org/pdf/2106.04718.pdf
☆433Updated 2 years ago
Alternatives and similar repositories for fastseq:
Users that are interested in fastseq are comparing it to the libraries listed below
- Repository for the paper "Optimal Subarchitecture Extraction for BERT"☆472Updated 2 years ago
- FastFormers - highly efficient transformer models for NLU☆706Updated last month
- Code associated with the Don't Stop Pretraining ACL 2020 paper☆529Updated 3 years ago
- [ACL 2021] Learning Dense Representations of Phrases at Scale; EMNLP'2021: Phrase Retrieval Learns Passage Retrieval, Too https://arxiv.o…☆604Updated 2 years ago
- Fast BPE☆670Updated 10 months ago
- Repository containing code for "How to Train BERT with an Academic Budget" paper☆313Updated last year
- XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 ty…☆643Updated 2 years ago
- A novel embedding training algorithm leveraging ANN search and achieved SOTA retrieval on Trec DL 2019 and OpenQA benchmarks☆371Updated last year
- Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)☆328Updated last year
- Interpretable Evaluation for AI Systems☆364Updated 2 years ago
- SentAugment is a data augmentation technique for NLP that retrieves similar sentences from a large bank of sentences. It can be used in c…☆362Updated 3 years ago
- ☆251Updated 2 years ago
- EMNLP 2020: "Dialogue Response Ranking Training with Large-Scale Human Feedback Data"☆339Updated 5 months ago
- ⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).☆311Updated last year
- The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to o…☆380Updated 2 years ago
- MPNet: Masked and Permuted Pre-training for Language Understanding https://arxiv.org/pdf/2004.09297.pdf☆294Updated 3 years ago
- Adversarial Natural Language Inference Benchmark☆393Updated 2 years ago
- Code for the NAACL 2022 long paper "DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings"☆293Updated 2 years ago
- Parallelformers: An Efficient Model Parallelization Toolkit for Deployment☆786Updated 2 years ago
- An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.)☆445Updated last month
- Understanding the Difficulty of Training Transformers☆329Updated 2 years ago
- Code to reproduce experiments in the paper "Task-Oriented Dialogue as Dataflow Synthesis" (TACL 2020).☆309Updated 11 months ago
- Neural Text Generation with Unlikelihood Training☆309Updated 3 years ago
- DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue☆283Updated last year
- Efficient, check-pointed data loading for deep learning with massive data sets.☆206Updated last year
- TyDi QA contains 200k human-annotated question-answer pairs in 11 Typologically Diverse languages, written without seeing the answer and …☆303Updated 4 years ago
- Semantics-aware BERT for Language Understanding (AAAI 2020)☆287Updated 2 years ago
- ICML'2022: NLP From Scratch Without Large-Scale Pretraining: A Simple and Efficient Framework☆258Updated last year
- An Open-Source Package for Information Retrieval.☆448Updated 2 years ago
- ⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.☆578Updated 2 years ago