GitHub - bytedance/effective_transformer: Running BERT without Padding

Running BERT without Padding. Contribute to bytedance/effective_transformer development by creating an account on GitHub.

CS-Notes/Notes/Output/nvidia.md at master · huangrt01/CS-Notes · GitHub

2211.05102] 1 Introduction

Bert base chinese model gives error :- EagerTensor object has no attribute 'size' · Issue #7406 · huggingface/transformers · GitHub

default output of BertModel.from_pretrained('bert-base-uncased') · Issue #2750 · huggingface/transformers · GitHub

inconsistent BertTokenizer and BertTokenizerFast · Issue #14844 · huggingface/transformers · GitHub

BERT: Bidirectional Encoder Representations from Transformer – Sophie Euna Jang

PDF) Efficiently Scaling Transformer Inference

jalammar.github.io/notebooks/bert/A_Visual_Notebook_to_Using_BERT_for_the_First_Time.ipynb at master · jalammar/jalammar.github.io · GitHub

NLP: Huggingface Transformers NER, understanding BERT with Galileo - Galileo

bert-base-uncased have weird result on Squad 2.0 · Issue #2672 · huggingface/transformers · GitHub

Decrease Longformer window size / computational cost · Issue #8871 · huggingface/transformers · GitHub

PDF) Packing: Towards 2x NLP BERT Acceleration