Implementation of Multistream Transformers in Pytorch

Last update: Jul 26, 2022

Overview

Multistream Transformers

Implementation of Multistream Transformers in Pytorch.

This repository deviates slightly from the paper, where instead of using the skip connection across all streams, it uses attention pooling across all tokens in the same position. This has produced the best results in my experiments with number of streams greater than 2.

Install

$ pip install multistream-transformers

Usage

import torch
from multistream_transformers import MultistreamTransformer

model = MultistreamTransformer(
    num_tokens = 256,         # number of tokens
    dim = 512,                # dimension
    depth = 4,                # depth
    causal = True,            # autoregressive or not
    max_seq_len = 1024,       # maximum sequence length
    num_streams = 2           # number of streams - 1 would make it a regular transformer
)

x = torch.randint(0, 256, (2, 1024))
mask = torch.ones((2, 1024)).bool()

logits = model(x, mask = mask) # (2, 1024, 256)

Citations

@misc{burtsev2021multistream,
    title   = {Multi-Stream Transformers}, 
    author  = {Mikhail Burtsev and Anna Rumshisky},
    year    = {2021},
    eprint  = {2107.10342},
    archivePrefix = {arXiv},
    primaryClass = {cs.CL}
}

Big Bird: Transformers for Longer Sequences

BigBird, is a sparse-attention based transformer which extends Transformer based models, such as BERT to much longer sequences. Moreover, BigBird comes along with a theoretical understanding of the capabilities of a complete transformer that the sparse model can handle.

457 Dec 23, 2022

:mag: Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline. Supporting DPR, Elasticsearch, HuggingFace's Modelhub...

Haystack is an end-to-end framework for Question Answering & Neural search that enables you to ... ... ask questions in natural language and find gran

6.4k Jan 9, 2023

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

spacy-transformers: Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy This package provides spaCy components and architectures to use tr

1.2k Jan 8, 2023

spaCy plugin for Transformers , Udify, ELmo, etc.

Camphr - spaCy plugin for Transformers, Udify, Elmo, etc. Camphr is a Natural Language Processing library that helps in seamless integration for a wid

342 Nov 21, 2022

:mag: End-to-End Framework for building natural language search interfaces to data by utilizing Transformers and the State-of-the-Art of NLP. Supporting DPR, Elasticsearch, HuggingFace’s Modelhub and much more!

Haystack is an end-to-end framework that enables you to build powerful and production-ready pipelines for different search use cases. Whether you want

1.4k Feb 18, 2021

Guide: Finetune GPT2-XL (1.5 Billion Parameters) and GPT-NEO (2.7 B) on a single 16 GB VRAM V100 Google Cloud instance with Huggingface Transformers using DeepSpeed

Guide: Finetune GPT2-XL (1.5 Billion Parameters) and GPT-NEO (2.7 Billion Parameters) on a single 16 GB VRAM V100 Google Cloud instance with Huggingfa

289 Jan 6, 2023

Implementation of Multistream Transformers in Pytorch

Related tags

Overview

Multistream Transformers

Install

Usage

Citations

You might also like...

Big Bird: Transformers for Longer Sequences

:mag: Transformers at scale for question answering & neural search. Using NLP via a modular Retriever-Reader-Pipeline. Supporting DPR, Elasticsearch, HuggingFace's Modelhub...

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

spaCy plugin for Transformers , Udify, ELmo, etc.

:mag: End-to-End Framework for building natural language search interfaces to data by utilizing Transformers and the State-of-the-Art of NLP. Supporting DPR, Elasticsearch, HuggingFace’s Modelhub and much more!

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

spaCy plugin for Transformers , Udify, ELmo, etc.

A deep learning-based translation library built on Huggingface transformers

Guide: Finetune GPT2-XL (1.5 Billion Parameters) and GPT-NEO (2.7 B) on a single 16 GB VRAM V100 Google Cloud instance with Huggingface Transformers using DeepSpeed

Releases(0.0.4)

0.0.4(Jul 31, 2021)

0.0.3(Jul 31, 2021)

0.0.2(Jul 30, 2021)

0.0.1(Jul 30, 2021)

Owner

Phil Wang

Reproduction process of BERT on SST2 dataset

MRC approach for Aspect-based Sentiment Analysis (ABSA)

LV-BERT: Exploiting Layer Variety for BERT (Findings of ACL 2021)

A2T: Towards Improving Adversarial Training of NLP Models (EMNLP 2021 Findings)

PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".

This repository collects together basic linguistic processing data for using dataset dumps from the Common Voice project

Kinky furry assitant based on GPT2

A Fast Command Analyser based on Dict and Pydantic

An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

Multiple implementations for abstractive text summurization , using google colab

Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

MASS: Masked Sequence to Sequence Pre-training for Language Generation

Japanese synonym library

Watson Natural Language Understanding and Knowledge Studio

Transformers Wav2Vec2 + Parlance's CTCDecodeTransformers Wav2Vec2 + Parlance's CTCDecode

EdiTTS: Score-based Editing for Controllable Text-to-Speech

Code examples for my Write Better Python Code series on YouTube.

CoNLL-English NER Task (NER in English)

A Chinese to English Neural Model Translation Project