Mastering Hugging Face Transformers Pipelines for NLP & Vision Tasks

🎬 In this hands-on tutorial, we explore the amazing power of the pipeline() API from 🤗 Hugging Face Transformers!

Whether you're into text classification, generation, NER, summarization, image classification, or speech recognition — this tutorial gives you **a one-stop Deep Dive** to building AI apps with **pretrained models in minutes**.

🧠 What you’ll learn:
- How to use `pipeline()` for Sentiment Analysis, Text Generation, Fill-Mask, NER, QA, Summarization
- How to apply pipelines to Image Classification & ASR
- Understand real-world use cases across NLP, Computer Vision, and Speech tasks

💾 Access the full notebook on GitHub:
🔗 https://github.com/moghalis/almoghalisAI/blob/main/huggingface_transformers_pipeline_tutorial%20Deep%20Dive.ipynb

👇 Start watching now and supercharge your AI skills in just one session!

#Transformers #HuggingFace #NLP #ComputerVision #SpeechRecognition #MachineLearning #AI #ZeroShot #TextClassification #Python

Видео Mastering Hugging Face Transformers Pipelines for NLP & Vision Tasks канала Mohamed Almoghalis