Transformers Pipeline: Sentiment Analysis, Summarization & Open-Source LLMs with Hugging Face APIs

Unlock the full potential of Hugging Face in Part 3 of my LLM Engineering Series! Discover how to implement powerful AI applications in minutes using Transformers Pipelines - perfect for programmers building real-world AI solutions.

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📥 Code & Colab Notebook: https://colab.research.google.com/dri...

Pipelines: https://huggingface.co/docs/transform...



🔍 In This Video, You'll Learn:
✅ Transformers Pipeline Mastery: Instant implementation of NLP tasks with 5 lines of code
✅ Sentiment Analysis Deep Dive: Analyze emotions in text
✅ Text Summarization Pro Techniques: Create concise summaries from long documents
✅ Open-Source LLM Playground: Access & run models like Llama 2, Mistral via HF APIs
✅ API Power Moves: Hugging Face Inference API

💻 Live Demos Include:
Building a sentiment analyzer for customer reviews
Creating an article summarizer for research papers
Chaining multiple pipelines for complex workflows
Deploying open-source LLMs without expensive hardware

👨💻 For Developers Who Want To:
Ship production-ready AI features fast
Leverage open-source LLMs cost-effectively
Add NLP superpowers to their apps
Stay ahead in the AI job market

🔔 Subscribe + Bell Icon for Part 4: Fine-tuning custom models with Hugging Face!


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