Learn how to create a powerful deep learning Q&A web application using Transformers and Anvil in this comprehensive Python tutorial. Explore the process of building a question-answering system with PyTorch and Hugging Face Transformers, specifically utilizing the RoBERTa model. Follow step-by-step instructions to install dependencies, load the model, interpret RoBERTa results, and construct the deep learning app. Discover how to seamlessly integrate Anvil with Jupyter, build callable functions, and develop the app's plumbing. Test the application's functionality and learn how to deploy it for real-world use. This hands-on video guide provides valuable insights into combining cutting-edge natural language processing techniques with web development to create an interactive and intelligent Q&A platform.
Build a Deep Q&A Web App with Transformers and Anvil - Python Deep Learning App
Overview
Syllabus
- Start
- Explainer
- Tutorial Start
- Install Dependencies
- Load Model
- RoBERTa Results
- Building the Deep Learning App
- Integrate Anvil to Jupyter
- Build Callable Function
- Build App Plumbing
- Testing the App
- Deploying the App
Taught by
Nicholas Renotte
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