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transformer-time-series-prediction

proof of concept for a transformer-based time series prediction model

transformer-vae

A library for making Transformer Variational Autoencoders. (Extends the Huggingface/transformers library.)

transformer-walkthrough

A walkthrough of transformer architecture code

transformer_rankers

A library to conduct ranking experiments with transformers.

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

transformers-1

transformers-2

Implementations of transformer models in pytorch

transformers-benchmarks

transformers-bloom-inference

Fast Inference Solutions for BLOOM

transformers-deepspeed

transformers-deepspeed-1

transformers-domain-adaptation

Adapt Transformer-based language models to new text domains

transformers-experiments

All my experiments with the various transformers and various transformer frameworks available

transformers-for-nlp-2nd-edition

Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLP

transformers-interpret

Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.

transformers-keras-e2e-ner

transformers-notebook

Resources regarding Transformers library

transformers-pytorch-text-classification

transformers-recipe

A quick recipe to learn all about Transformers

transformers-tutorials

This repository contains demos I made with the Transformers library by HuggingFace.

transformers-tutorials-1

Github repo with tutorials to fine tune transformers for diff NLP tasks

transformers-vqa

An implementation that downstreams pre-trained V+L models to VQA tasks. Now support: VisualBERT, LXMERT, and UNITER

transformers.jl

Julia Implementation of Transformer models

transformers4rec

Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation, available for both PyTorch and Tensorflow.

transformers_bloom_parallel

Techniques used to run BLOOM at inference in parallel

transformers_nlp

The repository will contain a list of projects which we will work on while reading the books of Natural Language Processing & Transformers.

transformers_notebook

Transformer LIbrary Docker Stacks

transformers_without_tears

Transformers without Tears: Improving the Normalization of Self-Attention

transformersum

Models to perform neural summarization (extractive and abstractive) using machine learning transformers and a tool to convert abstractive summarization datasets to the extractive task.

transformnet

Self-supervised learning by predicting geometric transformations