Introducing Packed BERT for 2x Training Speed-up in Natural Language Processing | by Dr. Mario Michael Krell | Towards Data Science
Bidirectional Encoder Representations from Transformers (BERT)
From SentenceTransformer(): Transformer and Pooling Components | by Gülsüm Budakoğlu | Medium
Variable-Length Sequences in TensorFlow Part 2: Training a Simple BERT Model - Carted Blog
nlp - How to use Bert for long text classification? - Stack Overflow
what is the max length of the context? · Issue #190 · google-research/bert · GitHub
Data Packing Process for MLPERF BERT - Habana Developers
Transfer Learning NLP|Fine Tune Bert For Text Classification
Scaling-up BERT Inference on CPU (Part 1)
Real-Time Natural Language Processing with BERT Using NVIDIA TensorRT (Updated) | NVIDIA Technical Blog
Question Answering with a Fine-Tuned BERT · Chris McCormick
How to Fine Tune BERT for Text Classification using Transformers in Python - Python Code
nlp - How to use Bert for long text classification? - Stack Overflow
token indices sequence length is longer than the specified maximum sequence length · Issue #1791 · huggingface/transformers · GitHub
15.8. Bidirectional Encoder Representations from Transformers (BERT) — Dive into Deep Learning 1.0.0-beta0 documentation
Introducing Packed BERT for 2x Training Speed-up in Natural Language Processing
Longformer: The Long-Document Transformer – arXiv Vanity
Hyper-parameters of the BERT model | Download Scientific Diagram
Customer Ticket BERT
Use BERT for Sentiment Analysis: A Tutorial | KNIME
Classifying long textual documents (up to 25 000 tokens) using BERT | by Sinequa | Medium
3: A visualisation of how inputs are passed through BERT with overlap... | Download Scientific Diagram
deep learning - Why do BERT classification do worse with longer sequence length? - Data Science Stack Exchange
BERT Transformers – How Do They Work? | Exxact Blog
BERT Text Classification for Everyone | KNIME
