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Transformer-based Sequence Classification with Electra
Alright, let’s break this down like a boss. So basically, we’re talking about a fancy algorithm called “Transformer-based Sequence Classification with Electra” that helps…
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Electra Model for Masked Language Modeling
So how does this Electra model work? Well, first off, it starts by taking in some juicy text data. This could be anything from…
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Transformers for Language Modeling
Imagine you’re a chef trying to create a new recipe for your restaurant menu. You have all these ingredients, but how do you know…
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PyTorch Electra Model
It does not have any value assigned to it initially, but rather serves as a placeholder for actual values when they are fed into…
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Efficiently Implementing WordPiece Tokenization in ELECTRA
Here’s an example: let’s say we have the word “programming”. Instead of splitting it into “pro”, “gram”, and “ing” like a regular tokenizer would…
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How to Use TensorFlow for Natural Language Processing
With the help of this magical library called KerasNLP and its high-level modules, you can easily transform raw strings into nifty features that your…
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Transformers DPRContextEncoder in TensorFlow
You want to be able to search through all these documents and find specific pieces of information that match your query. But instead of…
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DPRReader Output Explanation
Let’s say we have a dataset of news articles and questions related to those articles. We want to use DPRReader to find the article…
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How to use DPRReader for text classification in Python
Here’s how you use it: first, install the simpletransformers library by running this command in your terminal: `pip install simpletransformers`. Then, download a dataset…
