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Applying the Hugging Face Machine Learning Pipelines in Python
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1.
Introduction
Introduction to the Course
Hugging Face Overview
How Hugging Face Pipelines Work
Build Your First Hugging Face Mini-App
2.
NLP
Introduction to NLP Inference
Text and Token Classification
Text Summarization
Machine Translation
Question Answering
Text Generation
Prompt Engineering
Similarity
Fill Mask
Quiz: Natural Language Processing
Challenge: Multi-Task NLP Analysis
Solution: Multi-Task NLP Analysis
Project
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Text Summarization with Transformers
3.
Computer Vision
Image Classification
Object Detection
Segmentation
Quiz: Computer Vision
Challenge: Multi-Task Computer Vision
Solution: Multi-Task Computer Vision
Project
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Build an Object Detection Web App with YOLOv8 and Streamlit
4.
Conclusion
Wrap Up!
5.
Appendix
Default Models List
Project
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Vision Transformer for Image Classification
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Applying the Hugging Face Machine Learning Pipelines in Python
Default Models List
Get a summary of the default models for all the tasks covered in the course.
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