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Roberta Processing for Tokenization
For example, let’s say you have this sentence: “ChatGPT, with its advanced NLP, is transforming digital communication.” When we tokenize it, it might look…
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Carbon Emissions in Machine Learning Training
Now, why would anyone care about that? Well, it turns out that these models require a lot of computing power to run, and that…
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Streaming Text Generation in Python
This is super useful for things like chatbots or generating content for websites because you don’t have to worry about running out of RAM…
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Transformers for NLP: A Comprehensive Guide
Well, it’s basically like a magic wand for your NLP tasks it takes input text and turns it into something else (like machine-readable output…
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Preparing Dataset for BERT Pretraining
Before anything else, we need to download some data from Hugging Face Hub. This is like going to the library but instead of books,…
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Using Starcoder for code completion in VS Code using HF’s MLCommons Model Hub
Before anything else, what exactly is going on here. Essentially, Starcoder is a pre-trained language model that can help you write code faster and…
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How to Train and Use Starcoder Locally
Basically, it’s a tool that can help you write code by suggesting lines for you to copy and paste into your project. It’s like…
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Transformers for Inference
Instead of using traditional machine learning techniques like logistic regression or decision trees, which can take a long time and require a lot of…
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Optimizing Server Performance for Large File Transfers
For example, using alpine-based images instead of busybox or ubuntu can significantly reduce the image size. Secondly, combine multiple commands into a single RUN…
