SKU: 4199922350

Brother TZE-111 Laminated Labelling Tape 6mm Black On Clear

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Description

Brother TZE-111 Laminated Labelling Tape 6mm Black On ClearDescriptionSpecificationsShipping Brother TZ and TZe labels have an extra strength adhesive.. theyll stick and stay stuck to acrylic, glass, OVC, stainless steel and even polyester coated wood Tape Width: 6mm Tape Colour: Clear Text Colour: Black Compatible with the following printer models: Brother PTD200, Brother PTH105, Brother PT900, Brother PT1000, Brother PT1010, Brother PT1090, Brother PT1230PC, Brother PT1280, Brother PT1290, Brother PT1400,

Brother TZ and TZe labels have an extra-strength adhesive.. theyll stick - and stay stuck - to acrylic, glass, OVC, stainless steel and even polyester-coated wood

  • Tape Width: 6mm
  • Tape Colour: Clear
  • Text Colour: Black
  • Compatible with the following printer models: Brother PTD200, Brother PTH105, Brother PT900, Brother PT1000, Brother PT1010, Brother PT1090, Brother PT1230PC, Brother PT1280, Brother PT1290, Brother PT1400, Brother PT1650, Brother PT7600, Brother PT1750, Brother PT1830, Brother PT1880, Brother PT2420PC, Brother PT2430PC, Brother PT9500PC, Brother PT9700PC, Brother PT9800PC, Brother PT1950, Brother PT2300, Brother PT3600, Brother PT9600, Brother PT2100, Brother PT2700, Brother PT7100VP, Brother PT2030, Brother PT2730, Brother PTH300LI, Brother PTE100VP, Brother PTE300VP
  • OEM: BTZ111
  • SKU: DS01144
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    SKU: 4199922350

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    4.5 ★★★★★
    Based on 18 reviews
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    Leigh Roberson
    Waukegan, US
    ★★★★★ 5
    the book for me
    Format: Kindle
    This has been the best book I’ve read in 2026. I finally understand who I am. I can’t tell you how many times I’ve wondered what’s wrong with me. Turns out …. Nothing! I have struggled with the constant message of “you need community” and the internal desire that cringes at the thought of it. Isolation is bad but select community is perfect. No more shame for needing alone time or just wanting to stay home. I’m normal - just an outlier ! Thank you so much for the valuable insight that has given me such revelation and relief about how my mind and emotions work 💜
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on April 4, 2026
    M
    Verified Purchase
    Marc in MA
    Belleville, US
    ★★★★★ 5
    Excellent introduction
    Format: Kindle
    This is a well-written introduction for quickly learning how to use Ollama to run LLMs on your local machine. The book is light on theory but very good for facilitating hands-on experimentation. Only minimal Python experience is needed. Contrary to another reviewer's comment, the source code, which can be copied from the Kindle version of the text, is also readily available by emailing the author at the address provided. The final exercise in the book leads you through generating a RAG application to use Ollama to process your own documents without having to make them available to an external server.
    WAS THIS REVIEW HELPFUL?YesReportShare
    Reviewed in the United States on April 6, 2026
    S
    Verified Purchase
    Simon Mok
    Belleville, US
    ★★★★★ 5
    Effective book for learning ollama
    Format: Paperback
    The author has explained clearly the concept. Helpful and effectively written.
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    Reviewed in the United States on January 21, 2026
    J
    Verified Purchase
    Johann
    Dallas, US
    ★★★★★ 4
    Beginners Guide to Running Your Own Private LLM
    Format: Kindle
    I just read this book and really enjoyed how it breaks down using Ollama as your own private LLM. It gives you just enough info to spark some cool ideas and make you want to dive deeper into AI. If you’re totally new and curious, this is a fun, easy place to start!
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    Reviewed in the United States on August 4, 2025
    J
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    jrw879
    Chelsea, US
    ★★★★★ 5
    Lim provides an easy-to-follow path to get an LLM-powered app up and running
    Format: Kindle
    Lim has written another really clear, easy-to-follow tutorial. This one walked me through the Ollama platform showing step-by-step how to download open weight models, query them, supply them with my own documents, and write applications that are powered by LLMs. Lim provides an easy-to-follow path to get the first version of an LLM-powered app up and running.
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    Reviewed in the United States on February 20, 2026

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