Pre-train ELECTRA for Spanish from Scratch
ELECTRA is another member of the Transformer pre-training method family, whose previous members such as BERT, GPT-2, RoBERTa have achieved many state-of-the-...
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Extractive Summarization with BERT
In an effort to make BERTSUM lighter and faster for low-resource devices, I fine-tuned DistilBERT and MobileBERT, two lite versions of BERT on CNN/DailyMail ...
Visual Recognition for Vietnamese Foods
We are going to build a world-class image classifier using the fastai library to classify 11 popular Vietnamese dishes.
Named Entity Recognition with Transformers
In this blog post, to really leverage the power of transformer models, we will fine-tune SpanBERTa for a named-entity recognition task.
SpanBERTa: Pre-train RoBERTa Language Model for Spanish from Scratch
Self-training methods with transformer models have achieved state-of-the-art performance on most NLP tasks. However, because training them is computationally...
A Complete Guide to CNN for Sentence Classification with PyTorch
Convolutional Neural Networks (CNN) were originally invented for computer vision (CV) and now are the building block of state-of-the-art CV models. One of th...
Create a Minimalism GitHub Page for Your Data Science Portfolio in 30 Minutes
In the early days of my journey in data science a year ago, I spent most of my time reading articles on Towards Data Science to create my own Data Science ro...
Fine-tuning BERT for Sentiment Analysis
One of the most biggest milestones in the evolution of NLP recently is the release of Google’s BERT, which is described as the beginning of a new era in NLP....