Educational
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How to Utilize Smaller Versions of BERT for Multilingual Tasks
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In the vast landscape of Natural Language Processing (NLP), BERT (Bidirectional Encoder Representations from Transformers) has revolutionized how we handle language…
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How to Use MUDES for Multilingual Detection of Offensive Spans
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Welcome to the world of MUDES, a powerful framework designed for the multilingual detection of toxic spans within social media texts.…
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Getting Started with RuBERT: A Powerful Sentence Encoder for Russian
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Welcome to the world of natural language processing (NLP) with RuBERT! This guide will walk you through what RuBERT is, how…
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Understanding Drug Design with SMILES Notation
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Welcome to our informative guide on drug design! This article will introduce you to the fascinating language of molecules expressed through…
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How to Fine-Tune RuPERTa-Base for Paraphrase Identification
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The Natural Language Processing (NLP) domain has seen rapid advancements, and one of the exciting models is RuPERTa. In this article,…
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How to Utilize RoBERTinha: A Guide to the RoBERTa-like Language Model for Galician
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Language models have been transforming how we understand and generate text. In the vibrant region of Galicia, where Galician is the…
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How to Use the BERTurk Model for Turkish NLP
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In this guide, we will explore how to effectively utilize the BERTurk model, an innovative uncased BERT model intended for the…
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Understanding English Named Entity Recognition (NER) in Flair
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Named Entity Recognition (NER) is a vital task in natural language processing (NLP) that focuses on identifying and classifying key entities…
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How to Use Roberta Large Fine Tuned on RACE
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Roberta-large fine-tuned on the RACE dataset provides an exceptional approach to solving multiple-choice questions. This blog will guide you through using…
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Getting Started with BERT-LARGE-MONGOLIAN-CASED
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The BERT-LARGE-MONGOLIAN-CASED model is an impressive tool specifically designed for processing the Mongolian language. This blog will guide you through the…
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How to Use the BERT-BASE-MONGOLIAN-CASED Model
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The BERT-BASE-MONGOLIAN-CASED model is a powerful tool for natural language processing tasks involving the Mongolian language. Developed by a collaborative team,…
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Extracting Plain Text from Emails with the Gmail API
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Are you looking to retrieve plain text from emails sent to you? With the Gmail API, this task can be straightforward…