Natural Language Processing Tutorials
Learn how to deal with analyzing, processing text and build models that can understand the human language in Python using TensorFlow and many other frameworks.
Named Entity Recognition using Transformers and Spacy in Python
Learn how you can perform named entity recognition using HuggingFace Transformers and spaCy libraries in Python.
Fake News Detection in Python
Exploring the fake news dataset, performing data analysis such as word clouds and ngrams, and fine-tuning BERT transformer to build a fake news detector in Python using transformers library.
How to Paraphrase Text using Transformers in Python
Explore different pre-trained transformer models in transformers library to paraphrase sentences in Python.
Text Generation with Transformers in Python
Learn how you can generate any type of text with GPT-2 and GPT-J transformer models with the help of Huggingface transformers library in Python.
Speech Recognition using Transformers in Python
Learn how to perform automatic speech recognition (ASR) using wav2vec2 transformer with the help of Huggingface transformers library in Python
Machine Translation using Transformers in Python
Learn how to use Huggingface transformer models to perform machine translation on various languages using transformers and PyTorch libraries in Python.
How to Train BERT from Scratch using Transformers in Python
Learn how you can pretrain BERT and other transformers on the Masked Language Modeling (MLM) task on your custom dataset using Huggingface Transformers library in Python
Conversational AI Chatbot with Transformers in Python
Learn how to use Huggingface transformers library to generate conversational responses with the pretrained DialoGPT model in Python.
How to Fine Tune BERT for Text Classification using Transformers in Python
Learn how to use HuggingFace transformers library to fine tune BERT and other transformer models for text classification task in Python.
How to Perform Text Summarization using Transformers in Python
Learn how to use Huggingface transformers and PyTorch libraries to summarize long text, using pipeline API and T5 transformer model in Python.
