Jul 19, 2024 · In this paper, we proposed a novel adjustable fine-tuning method that improves the training and inference time of the BERT model on ...
Jan 10, 2022 · 01/10/22 - In this paper, we proposed a novel adjustable finetuning method that improves the training and inference time of the BERT model ...
Jan 10, 2022 · This paper proposes an efficient Transformer architecture that adjusts the inference computational cost adaptively with a desired inference ...
TiltedBERT: Resource Adjustable Version of BERT · Sajjad KachueeM. Sharifkhani ... A novel adjustable TiltedBERT method is proposed that improves the inference ...
Mar 9, 2023 · In this blog, we introduce our optimized MosaicBERT architecture and show how you can pretrain a high-quality BERT model from scratch on the MosaicML platform ...
Missing: TiltedBERT: Adjustable
Feb 18, 2024 · BERT-based rich contextual embeddings are useful for retrieving information from external resources to augment the context of the LLM during ...
Missing: TiltedBERT: | Show results with:TiltedBERT:
DistilBERT. RoBERTa (Robustly Optimized BERT… | by G Wang
medium.com › roberta-bert-distilbert-4c2...
Jul 18, 2024 · DistilBERT is a smaller, faster, cheaper, and lighter version of BERT, created by Hugging Face. It aims to reduce the size of BERT models while ...
Missing: TiltedBERT: Adjustable
Oct 31, 2018 · This is a release of 24 smaller BERT models (English only, uncased, trained with WordPiece masking) referenced in Well-Read Students Learn Better.
Missing: TiltedBERT: | Show results with:TiltedBERT:
Sep 22, 2024 · DistilBERT was introduced as a smaller, faster, and distilled version of BERT. It maintains 97% of BERT's language understanding capabilities while being 40% ...
Missing: Adjustable | Show results with:Adjustable
Jan 20, 2022 · In this post, we focus on the deep integration of SageMaker distributed libraries with Hugging Face, which enables data scientists to accelerate training and ...