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Transformers is a comprehensive library for machine learning that provides a unified interface for training, fine-tuning, and deploying transformer-based models. It supports a wide range of tasks, including text classification, language modeling, question answering, and sequence-to-sequence translation, while offering specialized architectures for both text and vision processing. The framework includes tools for managing the entire model lifecycle, from data preprocessing and tokenization to distributed training and inference. The library features extensive support for model optimization and
This is the official PyTorch implementation of the ALBEF paper Blog . This repository supports pre-training on custom datasets, as well as finetuning on VQA, SNLI-VE, NLVR2, Image-Text Retrieval on MSCOCO and Flickr30k, and visual grounding on RefCOCO+. Pre-trained and finetuned checkpoints…
Our servers break again :(. I have updated the links so that they should work fine now. Sorry for the inconvenience. Please let me for any further issues. Thanks! --Hao, Dec 03
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
The main features of jackroos/vl-bert are: Multimodal Pretraining, Natural Language Processing, Vision Language Models.
Open-source alternatives to jackroos/vl-bert include: huggingface/transformers — Transformers is a comprehensive library for machine learning that provides a unified interface for training,… salesforce/albef — This is the official PyTorch implementation of the ALBEF paper [Blog] . This repository supports pre-training on… airsplay/lxmert — Our servers break again :(. I have updated the links so that they should work fine now. Sorry for the inconvenience.… uclanlp/visualbert. evolvinglmms-lab/otter — Otter is a framework and toolkit for the pretraining, fine-tuning, and evaluation of vision-language models. It… google-research/big_vision — This project is a research framework and toolkit designed for training large-scale vision transformers and multimodal…