13.11.2019 · This is re-implementation of Google BERT model [ paper] in Pytorch. I was strongly inspired by Hugging Face's code and I referred a lot to their codes, but I tried to make my codes more pythonic and pytorchic style. Actually, the number of lines is less than a half of HF's. (It is still not so heavily tested - let me know when you find some bugs.)
The original code can be found here. ... Use it as a regular PyTorch Module and refer to the PyTorch documentation for all matter related to general usage ...
17.09.2021 · Fine-Tuning BERT for text-classification in Pytorch Luv Bansal Sep 17, 2021 · 4 min read BERT is a state-of-the-art model by Google that came in …
10.11.2021 · BERT is an acronym for B idirectional E ncoder R epresentations from T ransformers. The name itself gives us several clues to what BERT is all about. BERT architecture consists of several Transformer encoders stacked together. Each Transformer encoder encapsulates two sub-layers: a self-attention layer and a feed-forward layer.
22.07.2020 · In this tutorial, we will use pre-trained BERT, one of the most popular transformer models, and fine-tune it on fake news detection. I have also used an LSTM for the same task in a later tutorial, please check it out if interested! The main source code of this article is available in this Google Colab Notebook.
PyTorch-Transformers (formerly known as pytorch-pretrained-bert ) is a library of state-of-the-art pre-trained models for Natural Language Processing (NLP).