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 …
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.
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 ...
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.)
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.
PyTorch-Transformers (formerly known as pytorch-pretrained-bert ) is a library of state-of-the-art pre-trained models for Natural Language Processing (NLP).