
AdapterHub Bert
@adapterhubbert
Tweeting about new Adapters on @AdapterHub | Bot 🤖
ID: 1268888048705601537
https://adapterhub.ml/explore 05-06-2020 12:51:13
24 Tweet
86 Takipçi
319 Takip Edilen

New Adapter by Nick @[email protected]: Adapter for AraBERT (aubmindlab/bert-base-arabert) trained to classify Arabic by dialect, trained for 3 epochs on samples from University of British Columbia and John Hopkins University. Check it out at adapterhub.ml/adapters/mapme…

4 new Adapters by Clifton Poth for task qa/squad2 Here's one to check out: adapterhub.ml/adapters/ukp/b…


Check out our paper “AdapterDrop"! We find that Adapters can train 60% faster than full fine-tuning. With AdapterDrop we increase inference speed by up to 36% for 8 parallel tasks. GGeigle Maxxx2 Tilman Beck Jonas Pfeiffer NReimers IGurevych AdapterHub arxiv.org/pdf/2010.11918…



New Adapter by Andreas Rücklé: Our adapters from the MultiCQA paper (https://arxiv. Check it out at adapterhub.ml/adapters/ukp/b…


25 new Adapters for model distilbert-base-uncased by Clifton Poth for tasks sentiment/sst-2, rc/race, rc/multirc and more! Here's one to check out: adapterhub.ml/adapters/ukp/d…

4 new Adapters for model facebook/bart-large by Clifton Poth for tasks sum/cnn_dailymail, sum/xsum Here's one to check out: adapterhub.ml/adapters/ukp/f…

16 new Adapters for model facebook/bart-base by Clifton Poth for tasks nli/qnli, lingaccept/cola, sts/mrpc and more! Here's one to check out: adapterhub.ml/adapters/ukp/f…

This is AdapterHub-Bart, our new team member & AdapterHub Bert's best friend. Say Hi & meet him at AdapterHub.ml


22 new Adapters for model bert-base-multilingual-cased by Jonas Pfeiffer for tasks wikiann/en, zh_yue/wiki, cs/wiki and more! Here's one to check out: adapterhub.ml/adapters/ukp/b…


New Adapter by Clifton Poth: Adapter for mbart-large-cc25 in Pfeiffer architecture with reduction factor 2 trained on the WMT16 Romanian-English translation task. Check it out at adapterhub.ml/adapters/ukp/f…

New Adapter by Kalpesh Krishna: This adapter has been trained on the English formality classification GYAFC dataset and tested with other language adapters (like hindi) for zero-shot transfer. Check it out at adapterhub.ml/adapters/marti…



