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Automating NLP with Transformers & n8n [#979495]
Free Download Automating NLP with Transformers & n8n: Build Real-world AI Automation Workflows using Hugging face, LLMs and No-code power by Juno Darian
English | August 10, 2025 | ISBN: N/A | ASIN: B0FLSFF9TV | 337 pages | EPUB | 0.83 Mb
Turn language into action - without becoming an ML engineer. This practical, project-first guide shows you how to combine Hugging Face transformers and no-code automation in n8n to build production-ready NLP systems that read, reason, and act on text. Whether you want instant email summaries, a resume screener, a real-time multilingual news feed, or a private RAG knowledge assistant, this book walks you step-by-step from setup to deployment - with reusable workflows, checklists, and deployable projects you can ship today.
What makes this book different: it's structured as three progressive phases - Foundations, Automation in Action, and Advanced Orchestration - each anchored by hands-on projects that take you from "hello world" to production LLM ops. You'll build real integrations, not just toy demos: sentiment pipelines, email triage and summarizers, resume classifiers and job matchers, RAG agents, voice-to-text meeting summarizers, content generator pipelines, and an LLM Ops panel for hosting & monitoring your workflows. Learn by doing, deploy with confidence.
Inside you'll find:
* Clear, non-fluffy explanations of transformers, Hugging Face vs OpenAI tradeoffs, and how n8n fits into real systems.
* 11 step-by-step projects (with code snippets, HTTP node configs, and mapping tables) so you can reproduce each workflow end-to-end.
* Deployment and scaling guidance (self-hosting, Docker, Gradio), plus LLM ops best practices for rate limits, retries, and observability.
* Portfolio challenges, templates, and appendices with cheat sheets (model selector, node glossary, pricing tips) so you can show - and sell - your work.
Who this book is for
* Developers, automation engineers, and technical product builders who want practical, deployable NLP automations.
* Data enthusiasts and freelancers who need portfolio projects they can ship and demo.
* CTOs or team leads evaluating low-cost, privacy-friendly LLM workflows with self-hosting and vector DB options.
Why you'll love it
* Project-driven: real workflows that solve real problems (email triage, support routing, RAG assistants, AutoBlogger).
* Tool-agnostic and practical: works with Hugging Face, OpenAI, LangChain, Pinecone, and n8n so you can choose the right stack for your needs.
* Ready for production: includes debugging flows, monitoring tips, rate-limit strategies, and deployment checklists.
What you'll be able to do after reading
* Design and deploy NLP workflows that extract, summarize, classify, and generate text.
* Integrate Hugging Face inference APIs and self-hosted models into n8n flows.
* Build a private RAG assistant, automate meeting minutes, auto-publish AI content, and create an LLM Ops panel for monitoring and scale.
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